Applications Engineer - Advanced Manufacturing (Knoxville, TN, US, 37932)

Requisition Id 16196

Level: RP02

Overview:

We are seeking a Sensor Application Engineer who will focus on design and installation and assist with the development (hardware and software), of sensor systems for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Design and install image-based and other sensing systems
Develop data acquisition software for sensing systems
Maintain and upgrade existing imaging and sensing systems
Develop new sensing techniques and technologies
Calibrate sensors and ensure data integrity for use in machine learning algorithms
Support R&D projects for the MSA Group and across the MDF

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS in mechanical engineering, electrical engineering, mechatronics, robotics, computer engineering, computer science, or closely related field with at least four years of relevant experience.
Programming experience, preferably in Python.
Strong desire to learn new skills and the ability to learn independently.
Excellent verbal communication skills.
Desire and ability to work collaboratively in a dynamic team environment.
At least three of the following:
- Mechanical design experience using 3D CAD software
- Experience with sensor instrumentation, particularly cameras and optics
- Experience with microcontrollers and/or robotics
- Experience with computer vision techniques
- Experience with software development for real-time data acquisition
- Knowledge and/or experience of metal additive manufacturing processes

Preferred Qualifications:

Master’s degree in mechanical engineering, electrical engineering, mechatronics, robotics, computer engineering, computer science, or a closely related discipline.
Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Visa sponsorship is not available for this position

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Data Science for Materials Characterization (Knoxville, TN, US, 37932)

Requisition Id 16197

Overview:

We are accepting applications for a Postdoctoral Research Associate position who will focus on the intersection of material science, materials characterization, and data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Develop algorithms and software tools for visualizing and analyzing materials characterization data
Develop novel, data-driven materials characterization workflows
Advance understanding of process-structure-property relationships via digital manufacturing practices
Basic experience with AI/ML techniques
Publish research in peer reviewed journals and conferences
Support R&D staff members on their projects
General support of research and development needs within the MDF
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A Ph.D. in material science, or closely related field with an emphasis on material science or characterization completed within the last five years
Strong background in materials characterization techniques, such as microscopy, XRD, EBSD, and X-ray CT
Interest in working at the intersection of material science, advanced manufacturing, and digital manufacturing
Programming skills using Python or modern C/C++/C#
Demonstrated experience conceiving and executing research and development projects
The ability to work in a very dynamic team environment is required
Excellent verbal and written communication skills

Special Requirements:

Visa sponsorship is not available for this position

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Grid-Integrated Power Electronics Research Engineer (Temporary) (Knoxville, TN, US, 37932)

Requisition Id 16311

Overview:

Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy (DOE) Office of Science national laboratory with an extraordinary 80-year history of solving the nation’s most complex challenges. ORNL employs over 6,200 staff dedicated to advancing science and technology to support energy, environmental, and national security missions. ORNL is committed to fostering a diverse, equitable, inclusive, and accessible workplace that supports innovation and excellence.

The Grid Systems Hardware (GSH) Group at ORNL is seeking a highly motivated Power Electronics and Grid Hardware Research Engineer/Associate to support research and development of next-generation grid-integrated hardware systems. This position focuses on hands-on development, integration, and testing of power electronic converters, embedded systems, communication interfaces, and grid-connected hardware platforms.

The successful candidate will contribute to the development of innovative power electronic systems and controls, support system integration and experimental validation, and work closely with multidisciplinary teams across ORNL, industry, utilities, and DOE programs.

Major Duties/Responsibilities:

Conduct applied R&D in power electronics, embedded systems, and grid-integrated hardware platforms
Design, develop, and test power electronic converters (AC/DC, DC/DC) and associated control systems
Develop and implement embedded controller solutions using DSP/FPGA/Microcontroller/Microprocessor (such as Raspberry Pi) platforms.
Integrate and validate systems using hardware-in-the-loop (HIL) and laboratory testbeds
Develop and implement industrial communication protocols, including Modbus RTU / TCP/IP, MQTT, CAN Bus, SCADA interfaces
Support integration of grid-tied systems, including hybrid energy storage and power electronic interfaces
Develop and integrate wireless communication systems
Perform system-level integration and validation of solutions for industrial and grid applications
Support development and integration of grid protection and control systems
Conduct experimental testing, troubleshooting, and performance evaluation of hardware prototypes
Collaborate with ORNL teams, DOE programs, utilities, and industry partners
Document and present technical results through reports, presentations, and publications.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS in electrical engineering or a related field and a minimum of 2 years of relevant experience in power electronics, embedded systems, or hardware development for grid applications
Experience in power electronic system design and control
Experience with modeling and simulation tools (e.g., MATLAB/Simulink)
Programming experience in C/C++, Python, or similar languages
Hands-on experience with testing, debugging, and validating hardware systems
Experience with embedded platforms: DSPs, microcontrollers, FPGAs, etc
Familiarity with industrial communication protocols (e.g., Modbus, TCP/IP, MQTT)
Basic understanding of power systems and grid integration concepts
Strong written and verbal communication skills
Ability to work effectively in multidisciplinary teams

Preferred Qualifications:

Experience in power electronics hardware development (PCB design, converter prototyping, testing)
Experience with HIL platforms (e.g., OPAL-RT, Typhoon)
Experience with grid-connected systems or energy storage systems
Experience integrating SCADA or grid control systems
Knowledge of grid protection systems and devices
Experience with wireless communication systems for industrial or grid applications
Experience developing systems for harsh or industrial environments
Demonstrated experience in system integration and field deployment
Publication record in technical conferences or journals (preferred but not required).

Special Requirements:

Some travel may be required
This is a temporary 24-month position. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Associate R&D Staff Member in Data Science for Advanced Manufacturing (Temporary) (Knoxville, TN, US, 37932)

Requisition Id 16307

Overview:

We are seeking an Associate R&D Staff Member in Data Science for Advanced Manufacturing who will focus on the development of next-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified. The selected candidates will conduct research in data science and AI to develop scalable, deployable methodologies to assess and to improve manufacturing quality, efficiency, and certification readiness. This position resides in the Manufacturing Systems Analytics group in the Digital and Secure Manufacturing Section, Manufacturing Science Division, Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL).

You will work at the MDF to advance digital manufacturing technologies and to accelerate their deployment to industry and national scale applications. The MDF hosts a diverse set of advanced manufacturing systems - including powder bed, directed energy deposition, machining, polymer, and convergent manufacturing systems – used to produce critical components from advanced materials.

These systems are instrumented and connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization.

In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for:

Real-time quality monitoring and control of manufacturing processes
Understanding relationships between manufacturing intent, machine behavior, and part performance
Optimization of manufacturing processes for improved throughput, reliability, and quality

You will contribute to the development of integrated data and AI workflows that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and computational resources and will be expected to publish research, present results, and contribute to high-impact programs. With over 100 manufacturing systems at the MDF, this role offers the opportunity to work on diverse, high-impact problems and to shape the future of intelligent manufacturing.

Major Duties/Responsibilities:

Develop and deploy data analytics, machine learning, and statistical modeling methods for multimodal manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data.
Design and implement scalable data engineering pipelines for ingestion, transformation, validation, and curation of manufacturing data, enabling high-quality, AI-ready datasets. Develop, integrate, and evaluate AI/ML models for anomaly detection, predictive modeling, process optimization, and automated decision support, including real-time and edge deployment
Contribute to the development of software tools and workflows for processing and analyzing manufacturing and characterization data
Develop and integrate imaging and sensing systems for data collection and monitoring
Develop modular, extensible workflows (e.g., service-oriented or agent-based architectures) to orchestrate data processing, simulation, and decision-making
Publish research results in peer reviewed journals and present findings at scientific conferences
Mentor students and junior staff
Collaborate with multidisciplinary teams to provide computational and analytical expertise across projects
Support broader research and development activities within the MDF
Contribute to proposals, publications, and cross-organizational collaborations to advance digital manufacturing research
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

Ph.D. in mechanical engineering, material science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field
Demonstrated experience applying data analytics, statistical modeling, and machine learning to real world datasets.
Experience conceiving and executing research and development projects
Proficiency in Python and common data science and machine learning libraries (e.g., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow)
Experience developing and deploying machine learning or deep learning models
Experience building and maintaining data processing pipelines for structured and unstructured data
Familiarity with high-performance computing, cloud environments, or distributed data systems
Familiarity with uncertainty quantification methods in AI/ML
Ability to present complex results to multidisciplinary teams, including engineering, scientific, and operational stakeholders
Ability to work effectively in a dynamic, collaborative research environment
Excellent verbal and written communication skills

Preferred Qualifications:

Experience working with manufacturing, materials, and sensor data
Experience with real-time or streaming data systems and edge AI deployment
Experience with multimodal datasets (e.g., imaging, time-series, and process data)
Experience with API-based data services, workflow automation, or integration of analytics into production systems
Knowledge of experimental design, uncertainty quantification, scientific machine learning, or digital twin methodologies
Experience collaborating across national laboratories, academia, or industry in multidisciplinary teams
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Visa sponsorship is not available for this position
This is a temporary 24-month position. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
Three letters of reference are required.

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate- Thermal Energy Storage Group (Knoxville, TN, US, 37932)

Requisition Id 16354

Overview:

We are seeking a Postdoctoral Research Associate who will focus on thermal energy storage and building equipment technologies. This position resides in the Thermal Energy Storage Group in the Building Technology Research, Building and Transportation Section, Energy Science and Technology Directorate, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

The successful candidate will be responsible for conducting, coordinating, and reporting complex research assignments related to energy conversion systems including:

Design and develop experimental setups; plan and execute experimental campaigns; perform thermofluid analyses; and analyze and interpret results.
Conduct experimental and laboratory research on thermal energy storage technologies, sorption systems, compressors, heat exchangers, HVAC systems, and related technologies.
Develop and apply system-level models to support research and design activities.
Prepare technical reports, journal publications, and conference papers; present research findings to sponsors and diverse audiences.
Contribute to idea generation and proposal development.
Collaborate effectively within multidisciplinary teams to maintain high scientific productivity and achieve project objectives.
Communicate and coordinate with operations and technical staff to support successful project execution.
Ensure compliance with environmental, safety, health, and quality (ESH&Q) standards and requirements.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD degree in Mechanical Engineering completed within the last 5 years.
Laboratory and experimental experience

Preferred Qualifications:

Experience in the design, development, and operation of experimental thermal-fluid systems, including design of experiments and the use of mechanical systems and instrumentation.
Knowledge in thermodynamics, fluid dynamics, and heat and mass transfer, with experience in heating, ventilation, and air-conditioning (HVAC) systems.
Self-motivated team player with strong interpersonal skills, able to collaborate across organizational levels in a fast-paced environment; adaptable to evolving project needs and sponsor priorities.
Willingness and ability to learn new research areas and contribute effectively with initiative and enthusiasm.
Excellent written and verbal communication skills, with a demonstrated record of technical publications.
Experience with DOE-funded or industry-sponsored projects and project/task management skills is highly desirable.

Special Requirements:

Please submit three letters of reference as part of your application, including at least one from a member of your PhD committee. Letters may be uploaded directly with your application or sent to Postdocrecruitment@ornl.gov, with the position title and requisition number included in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

For foreign national candidates:

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - AI for Hydrological Modeling (Oak Ridge, TN, US, 37830)

Requisition Id 15769

Overview:

The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems.

Major Duties/Responsibilities:

Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions.
Design and implement physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction.
Conduct multimodal, multiscale data analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation.
Collaborate with a multidisciplinary team of hydrologists, Earth scientists, and computational scientists to leverage leadership-class computing resources for large-scale model training, testing, and deployment.
Contribute to the development of scalable, explainable, and uncertainty-aware AI methods that enhance model robustness, reliability, and scientific discovery.
Publish research findings in high-impact journals and present results at national and international conferences.
Engage with collaborators across DOE laboratories, universities, and partner agencies to broaden the applications of AI-enabled hydrological modeling.
Ensure compliance with ORNL’s safety, security, quality, and environmental standards while carrying out all research activities.

Technical Questions:

Please contact Dan Lu lud1@ornl.gov

Basic Qualifications:

A Ph.D. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon).
Demonstrated experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction.
Strong background in computational sciences, including numerical methods, high-performance computing (HPC), or large-scale data analysis.
Experience in applying AI/ML techniques to hydrological and Earth sciences.
Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C++.
Evidence of scholarly productivity, including peer-reviewed publications and conference presentations.
Excellent written and oral communication skills and the ability to work effectively in a collaborative, multidisciplinary team environment.

Preferred Qualifications:

Knowledge of uncertainty quantification methods and causal inference for complex environmental systems.
Experience with large-scale Earth system simulations, particularly using the Energy Exascale Earth System Model (E3SM).
Background in coastal and compound flooding simulations, including subsurface–surface and hydrodynamic interactions.
Demonstrated ability and strong motivation to conduct innovative, high-impact research and disseminate results through peer-reviewed publications and conference presentations.

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity

Benefits at ORNL:

UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic and free Fitness facilities.

Relocation:

UT Battelle offers a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Materials Joining and Allied Processes (Oak Ridge, TN, US, 37830)

Requisition Id 16290

Overview:

We are seeking Postdoctoral Research Associates who will focus on materials joining and allied materials sciences and manufacturing technologies. These positions reside in the Materials Joining Group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

Multiple positions are available to support R&D with different research focuses. They include innovations in joining and materials processing/synthesis, AI/ML for process monitoring and control, and physics based computational modeling of joining processes or performance of welded structures. As a postdoc, you will conduct research and development at the forefront and often at the intersection of above topic areas as part of our multi-disciplinary team, with access to the vast research resources in a national laboratory environment, to advance your career.

Major Duties/Responsibilities:

Perform R&D in one of the above focus area in an integrated, team environment
Present and report research results and publish scientific results in peer-reviewed journals in a timely manner
Ensure compliance with environment, safety, health and quality program requirements

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD in Welding Engineering, Materials Science, Engineering Mechanics, Manufacturing Engineering, Mechanical Engineering, Artificial Intelligence/Machine Learning, or a related field completed within the last 5 years

Preferred Qualifications:

One or more of the following qualifications are preferred, depending on the specific position:

Excellent hands-on experience in operating materials joining equipment, especially laser welding, friction stir welding/processing and/or ultrasonic solid-state joining/processing
Excellent hands-on skills in manufacturing process sensing and monitoring, especially in welding and allied fields such as additive manufacturing.
Excellent skills and experiences of solid-mechanics, heat transfer and HPC simulations of welding residual stresses, and welding process simulations
Excellent skills and knowledge in experimental mechanics, mechanical behavior of materials, failure analysis
Demonstrated experience in application of AI and machining learning in manufacturing processes
Demonstrated experience in experiment design, and big data processing for elevated temperature mechanical property testing results
Strong background in high temperature material damage mechanisms
Skills in advanced material characterization techniques such as High Temperature Digital Image Correlation and specialized mechanical testing are advantageous
Solid background on materials science and phase transformations of metals and alloys, and experimental mechanics
Demonstrated experiences in thermodynamic, and/or phase field modeling tools for microstructure and phase transformation modeling and simulation of ferrite alloys and lightweight materials
Advanced characterization skills such as optical and high-resolution electron microscopy (SEM, TEM, EBSD)
Familiar with multi-axis robotic system and program
Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals
Excellent written and oral communication skills and the ability to communicate to an international, scientific audience
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Security, Credentialing, and Eligibility Requirements:

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

Postdocs:

Letters of Recommendation:

Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate- Automation of Electron Microscopy Workflows (Oak Ridge, TN, US, 37830)

Requisition Id 16296

Overview:

We are seeking a Postdoctoral Research Associate to develop AI-driven automation workflows for aberration-correction scanning transmission electron microscopy (STEM) to accelerate the characterization of degradation mechanisms in catalysts and electrochemical devices. This position resides in the Applied Microanalysis and Thermophysics (AMAT) Group in the Materials Analysis & Interface Science Section of the Materials Science and Technology Division (MSTD), Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL).

As part of our research team, you will collaborate with world leaders in catalysis and electrochemistry through national laboratory consortia of the Department of Energy’s Office of Critical Minerals and Energy Innovation (CMEI). Your role will be to work with the new aberration-corrected Thermo Fisher Spectra Ultra STEM to help drive the development of automated routines for analyzing catalyst structure and degradation mechanisms. A key area of research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular dark-field STEM imaging, energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy, at the intersection of electron microscopy, software engineering and machine learning.

Major Duties/Responsibilities:

Lead the implementation of the AutoScript environment on the Thermo Fisher Spectra Ultra
Establish a virtual microscopy environment for writing, testing, and maintaining AutoScript routines
Automate image acquisition and analysis workflows for robust particle size distribution measurements and morphology assessment
Develop live image analysis and beam control protocols that adapt acquisition conditions in real time (drift correction, autofocus) for efficient atomic-resolution STEM-EDS/EELS spectrum imaging
Develop AI-enabled approaches for multi-modal electron tomography acquisition and image alignment

Report and publish scientific results in peer-reviewed journals in a timely manner
Present results at scientific conferences and CMEI consortia meetings
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD in Materials Science & Engineering, Computational Sciences, Physics, or a related field completed within the last 5 years
Demonstrated expertise with Python-based programming for instrument control, image analysis or spectroscopy

Preferred Qualifications:

Experience with transmission electron microscopy
Familiarity with application programming interfaces, particularly Thermo Fisher’s AutoScript Software

Experience with artificial intelligence or machine learning
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Security, Credentialing, and Eligibility Requirements:

Postdocs:

Letters of Recommendation:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Synthetic Polymer Chemist (Oak Ridge, TN, US, 37830)

Requisition Id 16297

Overview:

We are seeking a Postdoctoral Research Associate who will focus on polymer synthesis and characterization for fundamental understanding of depolymerization and polymerization of polymers coupled with autonomous chemistry https://www.ornl.gov/project/precision-synthesis-polymers-mastering-reaction-equilibria. This position resides in the Soft Materials and Membranes group in the Separation and Polymer Chemistry section, Chemical Sciences Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

As part of our team, the postdoc will synthesize novel polymers (both polymerization and depolymerization) especially utilizing robotic autonomous chemistry, unravel mechanistic understanding, valorize to new polymers using depolymerized building blocks, as well as conduct their characterization. The project is highly collaborative, and the postdoc will work with other polymer scientists, physicists, computational scientists, as well as neutron scattering experts.

Major Duties/Responsibilities:

Conduct controlled depolymerization of polymers
Synthesize novel polymers
Operate and execute autonomous chemistry and their characterization
Research the structural, mechanical and thermal characterization of polymers
Responsible for presenting and reporting research results and publishing scientific results in peer-reviewed journals in a timely manner
Ensure compliance with environment, safety, health and quality program requirements

Maintain strong commitment to the implementation and perpetuation of values and ethics

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A Ph.D. in Polymer Chemistry, Organic Chemistry, Polymer Science and Engineering, Chemical Engineering, Materials Science and Engineering, or a closely related field completed in the last 5 years
Experience in polymer or organic synthesis and characterization methods

Preferred Qualifications:

Knowledge and expertise in multi-step organic synthesis including monomer synthesis, well-defined polymers and controlled functionalization, depolymerization of polymers, autonomous robotic chemistry, rigorous NMR characterization, and mechanical and thermal characterization of polymers
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Security, Credentialing, and Eligibility Requirements:

Postdocs:

Letters of Recommendation:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Radar and Optics Applications Staff Assistant (Oak Ridge, TN, US, 37830)

Requisition Id 16323

Overview:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

The Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of radar and optics technologies to address national security and other worldwide challenges. Our research and development capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning (AI/ML), neuromorphic sensing, video super-resolution, electromagnetics, real-time systems, data mining and analysis, high performance computing, cyber security protection for radar and related training systems, signal processing, and software development. In general, activities involve first-class interdisciplinary research with multiple research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for our national security research sponsors. ORNL thrives in a culture of respect, diversity, curiosity, and discovery.

Main Duties and Responsibilities:

As a full-time Assistant Staff Member, you will support research staff on research projects and provide technical engineering support, technology assessments, engineering analysis, engineering studies, design reviews, and specifications development for upgrading existing radar and optical tracking systems and developing new radar and optical tracking systems for the Department of Energy (DoE) and other government agencies (OGAs). As part of your routine tasks, you may be required to:

Assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar transponders, and advanced sensor fusion technologies
Apply AI/ML to improve detection and identification of radar and optical tracking systems, or execute radar and optics systems performance tests and analyze the results to influence strategic national security decisions.

In short, you will help envision, design, develop, test, and deploy radar and optics technologies to support national security needs.

The position requires development of innovative solutions for general radar and optics challenges and collaboration with other team members for the development of technical demonstrations, proposals, oral presentations, and publications. No less important, the interdisciplinary nature of projects demands strong interpersonal skills, evidence of working well in teams, and an expected desire to seek and develop healthy relationships. Finally, the position requires a passion for mission-focused National Security challenges.

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS, MS or PhD degree with experience in Electrical and Computer Engineering, Computer Science, Mathematics, or a science related field.
Proven experience in radar and optics applications.
Excellent communication skills for conveying technical material to both scientists and non-scientists in both written and oral presentations.
Self-disciplined work ethic and eagerness to tackle challenging research problems.
Strong desire to work in a team environment.
Ability to obtain a security clearance.

Preferred Qualifications:

Experience with prototyping RF electronics in a lab environment.
Experience with AI/ML.
Experience with RF signature recognition and classification algorithms.
Experience with Computational Imaging and Image Reconstruction techniques.

This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may be also be subject to random polygraph testing.

This position is a full-time staff position.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Radar and Optics Applications Associate Research Staff (Oak Ridge, TN, US, 37830)

Requisition Id 16324

Overview:

The Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of radar and optics technologies to address national security and other worldwide challenges. Our research capabilities include radar and optics technologies, radio frequency (RF) communications, computational imaging, artificial intelligence / machine learning (AI/ML), neuromorphic sensing, video super-resolution, electromagnetics, real-time systems, data mining and analysis, high performance computing, cyber security protection for radar and related training systems, signal processing, and software development. In general, activities involve first-class interdisciplinary research with multiple research groups at ORNL, collaborations with private industry and academic partners across the nation, and mission-specific support for our national security research sponsors.

Main Duties and Responsibilities:

As a full-time Associate Research Staff you will support technical staff on research projects and provide technical engineering support, technology assessments, engineering analysis, engineering studies, design reviews, and specifications development for upgrading existing radar and optical tracking systems and developing new radar and optical tracking systems for the Department of Energy (DoE) and other government agencies (OGAs). As part of your routine tasks, you may be required to:

assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar transponders, and advanced sensor fusion technologies
apply AI/ML to improve detection and identification of radar and optical tracking systems,
or execute radar and optics systems performance tests and analyze the results to influence strategic national security decisions.

In short, you will help envision, design, develop, test, and deploy radar and optics technologies to support national security needs.

Basic Qualifications:

BS with a minimum of four years of experience, MS with a minimum of two years of experience, or a PhD degree with a strong record of research and development in Electrical and Computer Engineering, Computer Science, Mathematics, or a related field
Proven experience in radar and optics applications.
Excellent communication skills for conveying technical material to both scientists and non-scientists in both written and oral presentations.
Self-disciplined work ethic and eagerness to tackle challenging research problems.
Strong desire to work in a team environment.
Ability to obtain and maintain a security clearance.

Preferred Qualifications:

Experience with prototyping RF electronics in a lab environment.
Experience with AI/ML.
Experience with RF signature recognition and classification algorithms.
Experience with Computational Imaging and Image Reconstruction techniques.
Familiarity with federal funding procedures, regulations, policies, and practices.
Experience developing and managing research projects.

This position is a full-time staff position.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Advanced STEM and EELS for Quantum and Energy Materials (Oak Ridge, TN, US, 37830)

Requisition Id 16184

Overview:

We are seeking a Postdoctoral Research Associate who will focus on advanced electron microscopy research for quantum or energy materials. This position resides in the electron Microscopy and Microanalysis (e-MMÅ) group in the Nanomaterials Characterization Section, Center for Nanophase Materials Sciences (CNMS), Physical Science Directorate (PSD) at Oak Ridge National Laboratory (ORNL).

As part of our team, you will investigate the atomic and electronic structures in energy and quantum materials and correlate them with relevant properties for energy and data storage applications. You will utilize ORNL's new capabilities of aberration-corrected scanning transmission electron microscopy (STEM). A particular focus of the research will be understanding heterogeneities, such as interfaces in quantum materials or energy materials. Advanced electron microscopy capabilities, such as 4D-STEM and high-resolution electron energy-loss spectroscopy (EELS), will be integrated with in situ experiments. You will play an integral role in electron microscopy and closely collaborate with other scientists for synthesis, theoretical calculations, and other characterization methods across multiple divisions at ORNL.

Major Duties/Responsibilities:

Conduct materials research using aberration-corrected STEM and EELS.
Collaborate with project team members within and outside ORNL.
Present and report research results, as well as publish scientific results in peer-reviewed journals, in a timely manner.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD in materials science and engineering, physics, chemistry, or electrical engineering or a related field.

Preferred Qualifications:

Experience in scanning transmission electron microscopy
Background in aberration-corrected STEM and EELS.
Background in Python or MatLab.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Security, Credentialing, and Eligibility Requirements

Postdocs:

Letters of Reference:

Three letters of reference are required and can be uploaded to your profile or emailed directly to postdocrecruitment@ornl.gov. Please include the title of the position in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling (Oak Ridge, TN, US, 37830)

Requisition Id 16218

Overview:

The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL) seeks a motivated Research Professional.

This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell modeling and networked biological systems.

You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing resources and collaborating across ORNL, federal agencies, and academic partners.

Key Responsibilities:

Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
Optimize simulation codes and workflows for leadership-class HPC architectures
Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
Publish findings in high-impact journals and present at leading conferences

Required Qualifications:

Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field
Strong programming skills in C++, Python, or similar scientific computing languages
Extensive experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
Experience working on high-performance computing (HPC) systems
Demonstrated ability to conduct independent research with a strong publication record
Demonstrated ability to obtain research funding (DoE, DoD, NIH, NSF etc)
Excellent written and verbal communication skills for interdisciplinary collaboration
Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service

Preferred Qualifications:

Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
Experience improving performance and scalability of simulation workflows via:

Parallelization and performance engineering
GPU/accelerator optimization
Algorithmic innovation

Experience applying machine learning or AI to molecular simulation, including:

Surrogate models or learned potentials
Generative models for biomolecular design
Representation learning for biomolecular systems

Familiarity with protein–protein interaction (PPI) networks, signaling pathways, or systems biology models (experience of bioinformatics tools)
Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
Experience with deep learning frameworks such as PyTorch or TensorFlow
Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs

Special Requirements:

This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling (Oak Ridge, TN, US, 37830)

Requisition Id 16217

Overview:

Key Responsibilities:

Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
Optimize simulation codes and workflows for leadership-class HPC architectures
Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
Publish findings in high-impact journals and present at leading conferences

Required Qualifications:

Ph.D. (within 0–5 years) in computational bioscience, computational biophysics, computer science, or a related field
Strong programming skills in C++, Python, or similar scientific computing languages
Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
Experience working on high-performance computing (HPC) systems
Demonstrated ability to conduct independent research with a good publication record
Excellent written and verbal communication skills for interdisciplinary collaboration
Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service

Preferred Qualifications:

Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
Experience improving performance and scalability of simulation workflows via:

Parallelization and performance engineering
GPU/accelerator optimization
Algorithmic innovation

Experience applying machine learning or AI to molecular simulation, including:

Surrogate models or learned potentials
Generative models for biomolecular design
Representation learning for biomolecular systems

Familiarity with protein–protein interaction (PPI) networks, signaling pathways, or systems biology models (bioinformatics tools and models)
Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
Experience with deep learning frameworks such as PyTorch or TensorFlow
Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs

Special Requirements:

Security, Credentialing, and Eligibility Requirements:

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Industrial Partnerships Program Director (Oak Ridge, TN, US, 37830)

Requisition Id 16247

Overview:

We are seeking an experienced profession to lead ACCEL (Accelerating Competitiveness through Computational ExceLlence), an industrial partnerships program within the National Center for Computational Sciences (NCCS). This position can be on-site, remote, or hybrid. Selection will be based on qualifications, relevant experience, skills, and education. NCCS provides state-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale S&T challenges across a broad range of scientific domains for accelerating scientific discovery and engineering advances. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities which operates Frontier, the nation’s first exascale supercomputer.

Purpose:

The Program Director of ACCEL will collaborate across other sections in the division and directorate to strategically advance the ACCEL industry partnership program so that it continues to be recognized as the premier industrial partnerships program for leadership computing within the DOE. Consistent with ORNL’s culture, historical leadership, and continued vision to be the world’s premier R&D institution for computational science, the Program Director will foster relationships with ambitious industry partners so that they can collaborate with ORNL’s flagship computational ecosystem.

The candidate must be able to interact comfortably with both corporate and laboratory researchers, laboratory management, and industry C-suite executives who often are the decision makers that permit their research teams to use national laboratory computing systems to solve competitively important corporate science and engineering problems. ACCEL’s Program Director also serves as an ambassador for the lab and the leadership computing facility to industry and may be the first person to ever inform a company that they may qualify for access to OLCF resources.

Major Duties/Responsibilities:

Grow the industrial partnerships program by identifying and cultivating new industrial users for the OLCF resources.
- Understand the different allocation programs to apply for time on the OLCF systems and their requirements and be able to discuss these clearly with potential new industrial users so they can determine if they might qualify to receive an allocation.
- Understand the legal agreements required to use the OLCF resources and be able to explain these generally in advance to potential new users. (Note that if an award is made, OLCF has an experienced on-boarding team that will lead a new user through each step.)
Nurture current OLCF industrial users to ensure they continue to bring their large-scale computational problems to OLCF.
- As relationships with industry users grow, identify potential areas for scientific collaboration between industry and the researchers within OLCF and the broader computing directorate, and bring relevant parties together to explore and decide on specific collaborative projects.
Understand the OLCF science impact business model and be able to explain it to potential users so they understand the context and rationale for the different allocation programs and legal agreements.
Be prepared to work with OLCF leadership to develop new programs and opportunities to expand industrial usage as laboratory and DOE needs and requirements change.
Organize visits to OLCF/CCSD for company researchers/executives to meet with lab researchers/executives to better familiarize the company with OLCF/CCSD and the lab and identify new areas to work together.
Work with OLCF communications team to develop stories for the OLCF and DOE websites about industrial accomplishments using OLCF resources.
Provide management support to the Division Director for an industry and federal agency computing roundtable that reports to him and his counterpart at the Argonne Leadership Computing Facility.

Qualifications Required:

Bachelor’s degree with minimum 10 years relevant experiences.
Experience in partnership development and relationship management in/across the public and/or private sectors.
Commitment to advancing scientific missions and national competitiveness.

Preferred Qualifications:

Basic understanding of the DOE national laboratory system and preferably its variety of user facilities, including its high-performance computing user facilities.
Working knowledge of why and how companies across a spectrum of industries use high performance computing.
Comfortable operating in a matrixed environment.
Excellent organizational and interpersonal skills.
Enthusiastic first-approach skills.
While you don’t need to be a computer or computational scientist, you must be comfortable acting as a bridge between potential and current industrial users of OLCF leadership computing resources and the diverse experts within OLCF that can speak with users specifically about their science/engineering challenges.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Computational Fluid Dynamics Analyst (Oak Ridge, TN, US, 37830)

Requisition Id 16173

Overview:

The Advanced Engineering Technologies (AET) Group is seeking a computational fluid dynamics analyst to specialize in the use and development of computational simulation software for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches in a research and development atmosphere.

Major Duties / Responsibilities:

You, in collaboration with principal investigators and project management at ORNL, will participate in the development of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space.
You will be expected to be a user of the tools generated, participate in model validation activities, identify workflow improvements, and communicate issues to the development team for tool improvement.
You will also be involved in the analysis of ad hoc problem sets relevant to the nuclear nonproliferation mission space.
Performing well as part of a larger project team and being capable of developing simulation software in a collaborative development environment is expected.
In addition to these responsibilities, you will be a contributor to R&D projects and will be expected to report on and brief results throughout the lifecycle of the various projects assigned to them.
In this position you will be expected to effectively interact with various ORNL staff as well as internal and external sponsors.
Working in a team environment with co-workers and management as well as independently is expected; you are also expected to fully document work performed in the forms of technical reports, papers and presentations; and to participate in the development of research proposals.
You will interface with principal investigators, management, engineers, fabricators, modelers, and test campaign personnel.

Basic Qualifications:

M.S. degree in Aerospace Engineering or related field, and a minimum of two years of related experience; or a Ph.D. in Aerospace Engineering or related field and a minimum of one year of related experience.
Excellent communication skills including verbal, presentation, and writing skills are required.

Preferred Qualifications:

Experience in computational fluid dynamics analysis, with an emphasis on:
- Mesh generation
- Steady and unsteady flows
- Sensitivity studies
- Validation activities
Experience in computational modeling, including numerical analysis, finite element methods, and software engineering
Experience in software development in the C++ and Python languages
The ability to work flexible hours and travel
Experience in an R&D and/or testing environment

Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Sr. Computational Fluid Dynamics Analyst (Oak Ridge, TN, US, 37830)

Requisition Id 16174

Level: RP03

Overview:

The Advanced Engineering Technologies (AET) Group is seeking a senior computational fluid dynamics analyst specializing in the use and development of computational simulation software for complex aerodynamic systems in the support of the nonproliferation mission space. This position will involve the creation and use of custom developed and off-the-shelf computational approaches in a research and development atmosphere.

Major Duties / Responsibilities:

You will, in collaboration with principal investigators and project management at ORNL, participate in the development of simulation software to model complex system flows in processes relevant to the nuclear nonproliferation mission space.
You will be expected to be a heavy end user of the tools generated, participate in model validation activities, identify workflow improvements, and communicate issues to the development team for tool improvement.
Analysis of ad hoc problem sets relevant to the nuclear nonproliferation mission space is expected.
Performing well as part of a larger project team and being capable of developing simulation software in a collaborative development environment.
In addition to these responsibilities, you will be a contributor to R&D projects and will be expected to report on and brief results throughout the lifecycle of the various projects assigned to them.
In this position effectively interacting with various ORNL staff as well as internal and external sponsors is required.
If selected, you will be expected to work in a team environment with co-workers and management as well as independently; to fully document work performed in the forms of technical reports, papers and presentations; and to participate in the development of research proposals.
You will interface with principal investigators, management, engineers, fabricators, modelers, and test campaign personnel.

Basic Qualifications:

M.S. degree in Aerospace Engineering or related field, and a minimum of 12 years of related experience; or a Ph.D. in Aerospace Engineering or related field and a minimum of 6 years of related experience.
Excellent communication skills including verbal, presentation, and writing skills are required.

Preferred Qualifications:

Demonstrated expertise in computational fluid dynamics analysis, with an emphasis on:
- Mesh generation
- Steady and unsteady flows
- Sensitivity studies
- Validation activities
Expertise in computational modeling, including numerical analysis, finite element methods, and software engineering
Experience in software development in the C++ and Python languages
The ability to work flexible hours and travel
Experience in an R&D and/or testing environment
Experience executing in a high-performance computing environment
Use of AI/ML techniques to develop surrogate models and support scientific discovery
Experience in multiphysics modeling
Experience in parallel programming on large-scale computational clusters
Expertise in Matlab programming
Active TS/SCI Clearance is preferred

Special Requirement:

This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

This position is a full-time staff position.

Remarks:

AET resides within the Nuclear Nonproliferation Division (NND) at Oak Ridge National Laboratory (ORNL). The NND is a division operating within the National Security Sciences Directorate. NND staff contributes world class research, technology development, risk assessment, and systems analysis related to nonproliferation and counterproliferation. The division activities play a vital role in implementation of national policy issues that strive to ensure global nuclear security. One of the major focus areas of the AET group is the development of advanced approaches to operation, characterization, and analysis of nuclear fuel cycle processes. The group specializes in the application of engineering principles supporting the characterization of processes and related materials. The AET group collaborates and works with staff from other groups within NND and ORNL to assure the full expertise of fuel cycle processes are applied to meet sponsor needs.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

AI Security Systems Architect (Oak Ridge, TN, US, 37830)

Requisition Id 15937

Overview:

We are seeking an AI Security Systems Architect to design and develop state-of-the-art systems for security testing and evaluation of artificial intelligence technologies. This role involves creating scalable infrastructure to support cutting-edge adversarial testing methodologies, such as red team vs. blue team exercises and AI-on-AI evaluation frameworks.

The ideal candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for AI Security Research (CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation.

Key Responsibilities:

Design and Development for Security Testing
- Architect and implement scalable systems tailored specifically for security testing and evaluation of AI systems.
- Develop frameworks to support red/blue team exercises in simulated environments, enabling manual and automated adversarial testing at scale.
- Build and integrate AI-on-AI testing infrastructures, where AI models can actively challenge each other in adversarial contexts to detect vulnerabilities or weaknesses.
Scalability and Cluster Computing
- Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions.
- Implement cluster computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads.
- Optimize resource allocation for simultaneous testing tasks and real-time tracking of security metrics.
Adversarial and Threat Modeling Infrastructure
- Develop systems to automate the generation and execution of diverse adversarial testing scenarios, including techniques for perturbation, poisoning, and evasion attacks.
- Design platforms for threat modeling in AI systems, enabling comprehensive vulnerability assessments tailored to diverse use cases, from cloud-hosted models to edge deployments.
- Enable rapid prototyping and iteration for adversarial defenses integrated into the architectural design.
Collaboration and Security Validation
- Work closely with security specialists, AI researchers, and DevSecOps teams to evaluate and validate the security of AI systems aligned with organizational security standards.
- Partner with stakeholders to design customized testing environments that simulate real-world attack and defense scenarios in production-like conditions.
Leadership and Innovation
- Lead cross-functional initiatives focused on advancing the security testing capabilities for next-generation AI systems.
- Stay informed of emerging adversarial AI threats, testing methodologies, and scaling innovations to foster continuous improvement in security testing architectures.
- Mentor junior engineers and provide technical leadership in AI security evaluation mechanisms.

Required Qualifications

Master’s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2-4 years of experience.
Proven experience architecting and implementing complex distributed systems tailored for security testing or evaluation at scale.
Demonstrated expertise in cluster computing and scaling for high-performance environments, with hands-on experience in frameworks such as Hadoop, Spark, or Kubernetes.

Preferred Qualifications

Familiarity with techniques for AI-on-AI adversarial evaluation, including reinforcement learning-based adversarial testing setups.
Expertise in designing systems that support red/blue team operations alongside DevSecOps integrations.
Knowledge of privacy-preserving AI methods, secure federated learning, and cryptographic protections.
Research or publication experience in adversarial testing, distributed systems, and AI system security.
Experience in supporting continuous integration pipelines for AI security validation in production environments.

Special Requirements:

Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Geospatial Data Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16118

Overview:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, Oak Ridge National Laboratory (ORNL) has an extraordinary history of solving some of the nation’s most complex scientific and security challenges. ORNL’s mission is carried out by a dedicated and creative staff working across disciplines to accelerate scientific discovery and translate research into impactful energy, environmental, and national security solutions.

The Geospatial Data Modelling Group within the Human Dynamics Section, part of the Geospatial Science and Human Security Division at ORNL, is seeking a Geospatial Data Engineer to support research and operational workflows focused on scalable geospatial data science, applied machine learning, and production-grade engineering practices to deliver repeatable, defensible, and time-dynamic geospatial products in support of national security, humanitarian response, disaster assessment, and resilience planning.

In this technical role, the candidate will collaborate with an interdisciplinary team of human geographers, population scientists, geospatial analysts, data scientists, and software engineers. They will contribute across the full lifecycle of geospatial modeling efforts: data acquisition and preparation, feature engineering, model development and evaluation, MLOps and codebase maintenance, automation, and quality assurance. A key component of this position is building agentic AI workflows that help discover, gather, validate, and standardize open-source data for downstream geospatial analytics and machine learning.

The position offers a unique opportunity to work on applied spatial analytics and geospatial data modeling at scale, leveraging diverse geospatial, demographic, and remotely sensed data sources. While the role does not require independent development of novel AI algorithms, it does require strong implementation skills, sound statistical judgment, and an ability to translate methods into reliable, maintainable, and well-documented pipelines.

Major Duties and Responsibilities:

Develop, maintain, and operationalize geospatial data science pipelines across ingestion, feature engineering, training, inference, evaluation, and delivery, using reproducible MLOps practices (version control, testing, experiment tracking, containerization, and CI/CD).
Support implementation of agentic AI workflows to discover, gather, and prepare data from open-source repositories (e.g., catalogs, APIs, and bulk downloads), including provenance tracking, metadata extraction, and licensing/usage notes.
Build scalable geospatial data preparation and validation routines for raster and vector data (projection harmonization, spatial joins, tiling/chunking, and QA/QC).
Develop geospatial validation frameworks for model outputs (e.g., comparisons to reference datasets, spatial cross-validation, summary dashboards, and automated report generation).
Support documentation, metadata development, and version tracking for data products and model releases; contribute to technical summaries, figures, and reports/publications as appropriate.
Participate in code reviews, model reviews, and data readiness reviews to ensure analytical defensibility, transparency, and fitness-for-use in operational and decision-support contexts.
Collaborate with research staff to integrate new data sources, indicators, and modeling approaches into existing workflows; communicate clearly across technical and domain teams.

Basic Qualifications

Bachelor’s degree and 3+ year’s experience in Geography, GIScience, Computer Science, Data Science, Statistics, Engineering, or a related field with a strong quantitative and software development emphasis.
Demonstrated experience with geospatial analysis using Python in a production or research to production environment leveraging common geospatial libraries (e.g., geopandas, rasterio, shapely, pyproj) and/or enterprise GIS tooling (e.g., PostGIS).
Strong software engineering fundamentals: Git-based workflows, testing, code review, and writing maintainable, well-documented code.
Experience preparing and validating raster and vector datasets (data cleaning, transformation, projection/CRS management, and quality control).
Working knowledge of machine learning and statistical modeling concepts (e.g., regression, classification, clustering, model evaluation).
Ability to work effectively in a team-based, production-oriented research environment and communicate technical results to diverse stakeholders.

Preferred Qualifications

Master’s degree in a relevant discipline or equivalent applied experience in geospatial data science, MLOps, or applied machine learning.
Experience with modern MLOps tooling and practices (e.g., MLflow or equivalent experiment tracking, model registries, containerization, reproducible environments).
Experience building data pipelines and workflow orchestration (e.g., Airflow, Prefect, Dagster, Make/Snakemake) and working in Linux/HPC environments.
Experience with large, multi-resolution geospatial datasets and performance-oriented processing (tiling, chunking, parallelization; Dask/Spark a plus).
Experience using or building agentic/LLM-enabled workflows for data discovery, extraction, and normalization, with attention to provenance, reproducibility, and quality.
Familiarity with uncertainty, data limitations, and bias in population and demographic modeling and in applied geospatial decision-support contexts.
Active or eligible U.S. security clearance or ability to obtain one.

Special Requirements:

Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Information Systems Security Officer (Oak Ridge, TN, US, 37830)

Requisition Id 16074

Overview:  

We are currently seeking qualified applicants with Information Systems Security Officer (ISSO) experience to support the Field Intelligence Operations Division’s classified operations in the areas of Classified Intelligence Information Technology (IT)/Information Assurance (IA), Classified R&D Computing, and physical and personnel security in the Field Intelligence Operations Division (FIOD) - where cutting-edge research and technology meets national defense. Under the Department of Energy (DOE), Office of Intelligence and Counterintelligence (IN) authorities, the FIOD serves as the ORNL focal point for all intelligence community matters and supports national security science by providing secure IT, communications, facilities, and analysis.

Purpose:

The ISSO will assist the Information Systems Security Manager (ISSM) in the certification and accreditation (C&A) of systems/networks and implementation of cyber security requirements and procedures across the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). The National Security Sciences Directorate conducts research and development to solve some of the nation's most difficult security challenges and adversaries.  The directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. The FIOD is housed within NSSD and provides the operational security, information assurance, and information technology support needed for ORNL to maintain Sensitive Compartmented Information Facilities, clearances, and systems.

Duties and Responsibilities:

The ISSO is a primary stakeholder and facilitator of the continuous monitoring efforts that promote RMF compliance throughout the organization. The ISSO provides clear direction and assists programmatic IT and infrastructure support personnel with the application of security patches and secure configurations commensurate with Security Technical Implementation Guides (STIGs). The ideal candidate will have experience in designing, implementing, and managing security solutions within classified environments, with particular emphasis on leveraging Splunk for security information and event management (SIEM). Routine collaboration and consultation with the Information Systems Security Manager (ISSM) regarding the design, development, integration, and analysis of classified information systems under general supervision, the candidate is responsible for performing a full range of Information Assurance functions in support of the security needs of the ORNL FIE ISSM/Group lead.

These responsibilities include:

System Security Oversight

Provide day-to-day cybersecurity support for classified/Sensitive Compartmented Information (SCI) systems.
Ensure compliance with DOE-IN, DoD, and NIST requirements across multiple facilities.
Develop, review, and maintain System Security Plans (SSPs) and related RMF artifacts (hardware/software lists, diagrams, PPSM, categorization forms, continuous monitoring plans, contingency plans).

Security Engineering & Compliance

Support design and implementation of security controls, ensuring alignment with DISA STIGs and NIST 800-53.
Assist with security architecture reviews, risk assessments, vulnerability analyses, and mitigation strategies.
Provide technical input for STIG feasibility and implementation, including possible automation of compliance checks.

Monitoring & Incident Response

Manage Splunk and SolarWinds environments for log collection, correlation, and monitoring.
Create and maintain dashboards, alerts, and reports to support real-time detection and response.
Investigate security incidents, document findings, and implement corrective measures.
Perform regular audit log reviews, authorized data transfers, and media control in accordance with policy.

Risk Management Framework (RMF) & Documentation

Develop and maintain system documentation to support system authorization and accreditation.
Track system changes, security impact assessments, and coordinate with ISSM on approvals.
Conduct and support continuous monitoring activities, including vulnerability management and reporting.

Governance & Training

Conduct annual account reviews, self-inspections, and compliance testing.
Train users and system administrators on security procedures and policy.
Support ISSM in implementing local policies, reporting metrics, and preparing for inspections
Continuously update and enhance documentation best practices and local security procedures, train users on these procedures, and consistently apply appropriate ES&H standards.
Maintain a strong commitment to the implementation and perpetuation of values and ethics.

  Basic Requirements:

BA in information technology or technical equivalent and a minimum of five years of experience in cyber security and the C&A process. An overall combination of equivalent education and experience may be considered.
Current TS clearance with SCI eligibility
Working knowledge of:
- Risk Management Framework (RMF) process & requirements.
- NIST and CNSSI requirements
Must be organized, self-motivated, and be able to work with minimal guidance.
Excellent written and verbal communication skills with an ability to interface with numerous cognizant security agencies, customers, and senior managers.
Previous experience in developing, testing, and collecting artifacts for RMF packages and BoEs of multiple systems.
Experience in authorized data transfers across multiple systems and different classifications.

Desired Skills:

Relevant ISSO / ISSE experience within the DoD or Intelligence Community.
CISSP, SEC+, or other relevant certifications

Previous experience supporting SCI environments.

Deep understanding of incident response procedures and enterprise security tool implementation
Knowledge of the Defense Information Systems Agency (DISA) Security Technical Implementation Guides (STIGs) and configuration standards.
Working knowledge of Industry Standard tools for purposes of audit reduction, vulnerability scanning, and malware analysis is preferred. Relevant tools include but are not limited to: Splunk, Tenable Nessus, Host Based Security System (HBSS) components, Security Content Automation Protocol (SCAP) Checker, and STIG viewer.
Experience with Security Directives, Policies, Publications, and Regulations.

Special Requirement:

This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.  In addition, due to the SCI, you may also be subject to random polygraph testing.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Director, Office of Institutional Strategic Planning (Oak Ridge, TN, US, 37830-8050)

Requisition Id 16364

Overview:

Oak Ridge National Laboratory (ORNL) is seeking a Director for the Office of Institutional Strategic Planning. The purpose of this position is to provide leadership for institutional S&T strategies, including development as well as S&T resourcing, planning and performance management at ORNL. The Director reports to the Deputy Laboratory Director for Science & Technology and works closely with the Laboratory Director, the Director of the Office of Integrated Performance Management, Associate Laboratory Directors, and other members of the Leadership Team.

Major Director Duties and Responsibilities:

Advances the development and integration of the Laboratory strategy, potentially including galvanizing select cross-lab S&T initiatives important for the lab strategy.
Leads ORNL internal discretionary investments with an emphasis on resourcing the Lab’s S&T strategic plans through working closely with ALDs and executing across Laboratory Director’s R&D (LDRD), which includes strategic hires, R&D projects, Seed, as well as ICE and program development allocations.
Leads the development of annual or biennial reports, including the Annual Laboratory Plan and the Laboratory Agenda and working with the director of IPPM on the Annual Report.
Develops new approaches/tools to enhance tracking and awareness of ORNL S&T investments and their impacts, as well as S&T annual metrics.
Collects, compiles and synthesizes internal and external strategic benchmarking information on an ongoing basis.
Oversees the research library and its functions, including research intelligence, publication security and ethics, and subscriptions.
As director of OISP, provides strategic oversight and serve as the line manager for the following OISP entities:

o ORNL Laboratory Directed R&D

o ORNL Research Library and information services

o ORNL Strategic planning

Organizes ALD meetings and data calls that support lab planning, discretionary investments and overall laboratory performance.
Meets and presents regularly to groups and individual ORNL managers and staff to educate and bring visibility to OISP and its programs, answer questions, and receive feedback.
Contributes to the PEMP tracking and midyear PEMP performance assessment activities as well as Annual Report.
Collaborates with the Chief Financial Officer to develop, review, and track indirect funding allocations.
Serves as co-Management System Owner for the ORNL Integrated Performance Management System with the OIPM director and procedure owner for the Establish and Manage Directorate Advisory Committees in SBMS.
Interacts with DOE and other national laboratories on matters relating to strategic planning, LDRD and ICE programs.
Maintains strong commitment to ORNL values and research code of conduct.

Basic Qualifications Required:

A PhD degree in a science or engineering field with at least 15 years of relevant R&D experience in a science or technical discipline and a minimum of three years of management experience.
Excellent interpersonal and oral communication skills.
A visionary and goal-oriented individual with demonstrated experience in planning, developing, and implementing research programs.
The ability to build trust, credibility, and working relationships with internal partners and work effectively as part of a team.
Ability to work in a fast-paced environment, be detail oriented, creative, articulate, personable, and self-confident.
Excellent organizational skills, and ability to quickly grasp complex concepts across disciplines, leading to prioritized investments that are likely to have the greatest impact.

Qualifications Preferred:

S&T Division Director experience.
Knowledge of the Department of Energy and National Lab system.
Knowledge of ORNL business processes.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Distinguished Staff Fellowship Program (Oak Ridge, TN, US, 37831)

Requisition Id 16363

Overview:

Oak Ridge National Laboratory (ORNL) is the world’s premier research institution, empowering leaders, and teams to pursue breakthroughs in an environment marked by operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career scientists and engineers who have excelled in their academic and professional subject areas and show promise as future science leaders. The program offers highly sought-after fellowships in various research fields, including biology and the environment, clean energy, fusion and fission, isotope science, materials science, national security, neutron science, and supercomputing.

Applicants selected to become DSFs will be named to one of three fellowships based on their scientific background. The fellowships honor three prominent scientists who made a Big Science impact at ORNL.

Dr. Liane B. Russell was a groundbreaking geneticist at ORNL (1947–2002), and in 1973 she was the first woman to receive the internationally awarded Roentgen Medal. She achieved international recognition for her contributions to our understanding of basic mammalian genetics. Russell Fellows are typically in the biological sciences, biomolecular chemistry, computational biology, and environmental and ecosystem sciences.
Dr. Alvin M. Weinberg was a passionate advocate for nuclear energy with a strong interest in science policy and ORNL’s longest serving director (1955–1973). Weinberg Fellows generally align with the applied, experimental, and computational sciences and demonstrate competency in chemistry and chemical engineering, radiochemistry, materials science and engineering, nuclear science and engineering, and manufacturing science and engineering.
Dr. Eugene P. Wigner was a 1963 Nobel Laureate in physics and ORNL’s first director of research and development (1946–1947). Wigner Fellows are typically in the fundamental sciences and demonstrate competency in advanced materials, chemistry, computational science, neutron scattering, nuclear physics, and plasma and fusion energy sciences.

Targeted Research Directions:

Candidates should demonstrate their ability to contribute to one (or more) of the following cross-disciplinary research initiatives:

Future of computing
Atoms to applications
Nuclear solutions for national priorities
Secure, resilient systems for abundant energy
National Security

Visit ORNL.gov to learn more about ORNL’s Strategic Priorities.

Major Duties/Responsibilities:

Conduct scientific research of the highest quality and impact during their 3-year tenure appointment.
Successfully conduct a mentorship plan crafted to integrate each DSF into ORNL’s scientific community.
Become leaders in their fields and effective representatives of the Laboratory in interactions with colleagues and with the DOE and other sponsors of R&D at ORNL.
Align behaviors, priorities, and interactions with ORNL’s core values of Impact, Integrity, Teamwork, Safety, and Service.

Basic Qualifications:

Applicants must have either received their PhD in a STEM or National Security field no more than 5 years prior to or expect to be awarded their PhD no later than 6 months after the application date.
Current or recent ORNL postdoctoral researchers and ORNL staff members are not eligible to apply.

Preferred Qualifications:

Excellent written and oral communication skills.
Ability to work independently and to participate creatively in collaborative teams across the Laboratory.
Proven ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing research priorities.

All degree requirements must be completed before starting the appointment.

Distinguished Staff Fellows join ORNL as independent, early-career research staff. Fellowship funds span the first 3 years of their ORNL employment to establish the foundation for a long-term career at ORNL.

Application Process:

Applications will be accepted from May 1, 2026, through May 31, 2026 ending at 11:59pm EST. Select “Apply Now” via our Careers website at jobs.ornl.gov or on the DSF website.

Please attach the following documents with your application submission:

A concise but thorough research statement that describes a vision for tackling a grand research challenge, its significance and relationship to ORNL research programs, and its alignment to one (or more) of ORNL’s targeted research directions.

Research statement guidelines:

A one-paragraph abstract of the research statement explaining, in general terms, what information will be discussed in your research statement. This should be in a standalone cover page for an audience with diverse knowledge bases.
Research statement up to 1,500 words, not including illustrations or references
- Background and significance
- Describe the problem to be solved, the need to be addressed, or the gap in knowledge to be filled.
- Describe the current state of the field (including citations to relevant literature).
- Research plan and approach
- State your specific aims and describe specific questions to be addressed or steps that will be taken to reach the overarching goal of your proposal.
- For each specific aim, describe the approach that will be taken to address that aim, providing enough detail to allow reviewers representing a broad range of research areas to assess the appropriateness and novelty of your approach.

References:

Unofficial Ph.D. transcript
CV/resume including a list of scholarly outputs (e.g., scientific publications in journals, conferences, reports, patents, etc., which distinguishes refereed from non-refereed items, and other notable scientifically related achievements, such as technical achievements, spin-offs, startup companies, etc.)
Cover letter addressed to the Distinguished Staff Fellowship Selection Committee
Three letters of recommendation:
- You are responsible for requesting the recommendation letters from your references, and all references should submit their letters directly to ornlfellows@ornl.gov. Please have your references address their letters to the “Distinguished Staff Fellowship Selection Committee”. To ensure proper receipt, please ask your references to use a subject line with your name included.

To be considered for this position, your application, and all required documents, including your three reference letters, must be received by May 31, 2026, no later than 11:59pm EST.

Selection Process:

The DFC is a body of esteemed scientists representing diverse subject matters across the Lab. The DFC will evaluate applicants based on candidate excellence and relevance of the proposed research topic once the application period has closed.

Several steps in the application review process take place after the application window closing date. It may take several weeks for candidates to be notified of their application status.

Additional information regarding ORNL’s DSF Program may be found by visiting the following link: https://www.ornl.gov/careers/distinguished-fellowships.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Mechanical Engineer (Oak Ridge, TN, US, 37831)

Requisition Id 16396

Overview:

We are seeking a Mechanical Engineer with experience in piping and mechanical utility systems, including but not limited to: Potable Water, Steam, Condensate, Natural Gas, Compressed Air, Sanitary Sewer, Cooling Towers, Chillers, heat exchangers, and other utility systems. This role will support various infrastructure and utility projects through their full life cycle, from concept to design to construction and startup. This role includes supplying technical and field oversite on various projects across the ORNL reservation. This position resides in the Utilities and Site Modernization Team within the Laboratory Modernization Division, part of the Facilities & Operations Directorate, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Provide technical support for multiple design and construction projects simultaneously, supporting the projects from conception to startup,
Develop conceptual sketches, scopes of work, methods of accomplishment, and other technical documents in support of project development,
Develop, Review, and Approve design documents, change orders, material requisitions, and specifications for construction or procurement use,
Support project managers to ensure technical documents are developed on time, and in support of project schedule.
Conduct periodic project and customer/stakeholder meetings to ensure alignment in design details and address technical questions related to the design documents,
Review Contractor Proposals (both Design and/or Construction) to ensure alignment with Scope and Objectives,
Proactively identify potential design issues (constructability concerns, quality, code compliance, cost overruns, etc.), and resolve them in a timely manner as to not impact project schedule,
Coordinate technical issue resolution with design team, Design and Project Management, and others as appropriate,
Conduct Design Reviews to Ensure documents (drawings, specifications, data sheets, cost estimates, etc.) align with Scope and meet the Project Objectives.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS in Mechanical Engineering or other relevant engineering field.
A minimum of five years of experience in design, design management, and/or construction management of multiple disciplines.
Experience with piping and utility systems, such as potable water, steam, condensate, compressed air, natural gas, chillers, compressors, heat exchangers, etc.
Experience developing technical documents such as mechanical design drawings and sketches, scopes of work, specifications, or other related mechanical documents.
Experience working with field personnel, such as Operations, Construction, and/or Facilities teams. Or experience coordinating field system tie-ins in a Co-Occupancy environment (Operations, Construction Contractor, Vendor, etc.).
Demonstrated ability to create, organize, and manage project documents from conception to completion including storing all closeout and as-built documentation to site database systems.

Preferred Qualifications:

Experience performing constructability reviews, options analysis, and conceptual engineering to address construction conditions not anticipated during project design.
Experience in coordination of design and construction work both in the field and in sensitive research facility setting including energy plants, utility rooms, research laboratory spaces, etc.
Experience developing Site Utility Systems Designs (e.g., Mechanical, Potable Water, Sanitary Sewer, Steam, Storm Water, etc.).
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.
Physical Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
Visa Sponsorship: Visa sponsorship is not available for this position.
HSPD-12 PIV badge: This position requires the ability to obtain and maintain an HSPD-12 PIV badge.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior Artificial Intelligence Software Engineer (Hybrid Eligible) (Oak Ridge, TN, US, 37830)

Requisition Id 15670

Overview:

We’re hiring an AI Developer having AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL.Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments.

Major Duties/Responsibilities:

Development and support of models utilizing AI/ML and Microsoft Azure related Power apps, including CoPilot Studio.
Collaboration with business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements.
Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and solution methods. LLM/GPT CI/CD pipelines and diagnostic monitoring for clients or set up for client self-monitoring.
Ethical and responsible use of AI in line with ORNL policy and guidelines.
Collaboration with other DOE labs and private sector companies to understand and mature ORNL capabilities.
Become the Go-To DOE lab for AI/ML best practices across lab domains.
Adherence to ORNL and ITSD software quality assurance standards and ITIL effective practices.
Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL guidelines.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS in computer science, data science, artificial intelligence, business analytics management, applied statistical analytics, or a related field of study and eight (8) to twelve (12) years of aligned experience, with the last 2-3 three years in the AI/ML arena, is required for consideration An overall combination of equivalent experience may be considered.
- Masters and PhD degree holders in the same fields of study are also encouraged to apply:
  - Masters’ holders should have seven (7) to ten (10) years of aligned experience with the last 2-3 three years in the AI/ML arena.
  - PhD holders should have four (4) to six (6) years of relevant and aligned experience with the last 2-3 three years in the AI/ML arena.

Prior demonstrated AI/ML development and deployment in independent cloud and on-premise environments including requirements gathering, design, and deployment of reporting solutions.
The candidate must demonstrate:
- experience creating AI solutions like Azure AI Foundry, MS Azure Open AI Studio, Azure SQL, and Open Source LLMs like Meta's LLama family.
- experience with Microsoft CoPilot, OpenAI tools and API’s for GPT creation, Hugging Face, LangChain, Large Language Models, Generative AI or similar tools.
- a deeply curious approach toward novel development, planning, support, design, modification and testing of data warehouse cubes, models, dimensions, measures, views and reports,
- being a results-motivated, curious, self-starter who is comfortable working in a project-based environment,
- the attitude of an analytical doer that creatively problem solves through innovation as work demands
- excellent relational client-facing skills, effective exploratory analytical thinking, and attention to detail,
- a strong emphasis in delighting customer and end-user needs.

Preferred Qualifications:

Active DOE Q clearance.
Understanding of multidimensional and tabular modelling, vector databases, Graph DB.
Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow.
Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others.
Knowledge of current ORNL business processes and applications (or similar) is a bonus.
Knowledge of Microsoft SharePoint technologies is a bonus.

Special Requirements:

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Hybrid Eligibility:

This position is located in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis.

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain dedicated people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Having difficulty using the online application system or need an accommodation to apply due to a disability? Please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Radioisotope Production Technical Professional (Oak Ridge, TN, US, 37830)

Requisition Id 15612

Overview:

We are seeking a Technical Professional-Radioisotope Processing to support the 3047 Operations Group within the Isotope Processing and Manufacturing Division (IPMD), at Oak Ridge National Laboratory (ORNL) to support isotope production operations.

Description:

The 3047 Operations Group within the Isotope Processing and Manufacturing Division (IPMD) at Oak Ridge National Laboratory (ORNL) is seeking a Senior Radiochemical Processing Technical Professional to support the production of high-priority radioisotopes, specifically radium-226 (Ra-226), actinium-227 (Ac-227), and thorium-228 (Th-228). This is an immediate opportunity for a highly motivated, organized, and technically skilled individual to join a dynamic team focused on expanding domestic radioisotope production capabilities.

Our current priorities center on scaling and optimizing production processes for Ra-226, Ac-227, and Th-228 to meet growing national and global demand. The selected candidate will contribute to process development, radiochemical separations, and operational improvements to ensure reliable, high-purity isotope output.

Major Duties/Responsibilities:

Work directly with nuclear materials in hot cells, gloveboxes, and chemical hoods to support isotope production.
Lead and support isotope production activities in a team environment in a Category III Nuclear Facility; including glovebox and hot cell operations.
Develop and coordinate production and processing schedules and liaise with Group Lead, R&D SME,and technical staff in support of customer requests.
Assist Group Lead with identifying, testing, and executing continuous improvement projects.
Develop solutions to radioisotope processing and production challenges.
Engage with scientists, engineers, and technicians to establish solutions to complex problems.
Assist and develop quality control and quality assurance documentation as well as procedures in support of isotope production and operation excellence.
Assist technical staff and other technicians with operations in chemical and radiochemical laboratories.
Ensure compliance with environmental, safety, health, and quality program requirements.
Mentor and train technicians.
Assist Group Lead with other duties as assigned.
Maintain, review, and track logbooks and batch record documentation.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS degree in Chemistry, Chemical Engineering or a related discipline and 8+ years of relevant experience.
Excellent oral and written communication to enable effective interaction with peers, technical, and non-technical staff.
Experience in a production or manufacturing environment with an emphasis on continuous improvement.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast past-environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs, including flexible scheduling to meet production goals.

Preferred Qualifications:

Experience in wet chemistry operations.
Demonstrated ability and hands-on experience with safe handling of highly radioactive samples, and experience with glove box and/or remote hot cell operations.
Experience in quality assurance documentation, good laboratory practice (GLP).
Experience in isotope production activities and chemical purification techniques.
Experience using glove boxes and/or hot cell manipulators for isotope production.
Ability to interpret data from analytical methods such as gamma-ray spectroscopy and mass spectrometry.
Strong written and verbal communication and organizational management skills.

Special Requirements:

Physical Requirements: Work involves various physical requirements including standing for long periods at a time, carrying heavy items, extended use of manipulators, hot and cold environments, as well as other working conditions. As such, a pre-hire physical is required.
Visa Sponsorship: Visa sponsorship is not available for this position.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

Relocation:

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Application-driven Composable Distributed Storage (Oak Ridge, TN, US, 37830)

Requisition Id 15602

Overview:

The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing.

We are a leader in computational and computer science, with signature strengths in high-performance computing and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.

Specific areas of research interest include:

Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention.
Intelligent and automated selection and composition of data and storage service capabilities and interconnection topologies that simplify the use of diverse distributed storage resources through advanced methods for distributed data placement, layout, tiering, and movement.

Major Duties and Responsibilities:

Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing.
I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems.
Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems.
Design and evaluation of ephemeral, user-configurable, and composable data and storage systems.
Evaluation of cloud data storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage systems.
Co-authorship of peer-reviewed publications, technical reports, and presentations.
Seek membership and service opportunities in professional, academic, and research organizations.

Basic Qualifications:

A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years.

Preferred Qualifications:

Ability to work independently to design and deploy methods at scale.
Experience in HPC and associated software development for applications, middleware, and/or system software.
Flexibility to adapt to diverse R&D projects and tasks.
Effective communicator in both verbal and written forms.
Ability to collaborate with scientists, engineers, and sponsors.
Interest in mentoring student internships.

Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - HPC Confidential Computing and Secure Multi-tenancy (Oak Ridge, TN, US, 37830)

Requisition Id 15603

Overview:

The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and supercomputing resources. The candidate will also contribute to the development of large-scale identity and key management solutions.

We are a leader in computational and computer science, with signature strengths in high-performance computing and data analytics with applications in a large variety of science domains and NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.

Specific areas of research interest include:

Integration of memory encryption, confidential computing, and trusted execution environments on both CPU and GPU based HPC systems.
Exploration of the capabilities of DPU/IPU SmartNICs to support network security isolation, platform level root-of-trust, and secure platform management/partitioning.

Major Duties/Responsibilities:

Collaborate with internal and external researchers on system software architectures for secure multi-tenancy.
Architect secure virtualization-based solutions for sharing a single node between multiple secure workloads.
Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks.
Design and evaluate key distribution and management solutions for large scale HPC platforms.
Explore the integration of attestation and identification into HPC resource management systems.
Collaborate in authoring peer reviewed papers, technical papers, reports.
Seek membership in professional, academic, and research organizations.

Basic Qualifications:

A PhD in computer science/engineering or relevant area with an education and a research track record in HPC research within past five years.

Preferred Qualifications:

The ability to work independently and develop and deploy methods at scale.
Experience in high-performance computing and software development.
Experience using virtualization-based solutions and/or IaaS platforms.
The ability to communicate effectively in both verbal and written forms.
Flexibility in R&D assignments.
Ability to collaborate with scientists, engineers, and sponsors.
Interest in mentoring students.
Good oral and written communication skills.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design (Oak Ridge, TN, US, 37830)

Requisition Id 15604

Overview:

The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in High-Performance Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing.

We are a leader in computational and computer science, with signature strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.

Specific areas of research interest include:

Telemetry collection and analysis to inform system optimization, workload characterization, and predictive fault tolerance in HPC systems.
Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific computing.
Redesign of storage systems to meet evolving demands in AI/ML and edge-to-HPC workflows, including support for data movement, retention policies, and user-defined storage behaviors.

Major Duties and Responsibilities:

Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing.
Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems.
Collect, analyze, and leverage telemetry data from HPC systems to support data-driven design decisions and performance tuning.
Explore trade-offs in DDR and HBM usage patterns, and propose architectural improvements for mixed-memory and bandwidth-intensive workloads.
Design and evaluation of ephemeral, user-configurable, and composable data and storage systems.
Design system-level approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems.
Coauthor peer-reviewed publications, technical reports, and presentations.
Seek membership and service opportunities in professional, academic, and research organizations.

Basic Qualifications:

A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years.

Preferred Qualifications:

Ability to work independently to design and deploy methods at scale.
Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM), and system-level telemetry tools.
Experience in HPC and associated software development for applications, middleware, and/or system software.
Flexibility to adapt to diverse R&D projects and tasks.
Effective communicator in both verbal and written forms.
Ability to collaborate with scientists, engineers, and sponsors.
Interest in mentoring student internships.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Section Head, Data and AI Systems Research (Oak Ridge, TN, US, 37830)

Requisition Id 16046

Overview:

The Computer Science and Mathematics Division (CSMD) is seeking an internationally recognized and research active computational scientist to lead and grow world class research capabilities focused on solving the world’s most challenging problems through artificial intelligence and data driven algorithms and systems.

CSMD creates the mathematics, artificial intelligence, and architecture-aware algorithms that harness machines, ideas, and data to enable far reaching scientific breakthroughs. We develop computer innovations and advanced practical tools to address scientific discovery, technology and national security challenges. CSMD delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, decision science, discrete algorithms, multiscale methods, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering.

The Data and AI Systems Research Section has capabilities in the following areas:

Learning Systems — Artificial Intelligence, machine learning, and data analysis at scale.
Visualization — Methods, tools, and technologies for visual data analysis.
Workflow Systems — Large scale data management, workflow, and data compression.
Data Engineering — Engineering data assets and systems, including data wrangling and system design, to drive scientific innovation.
Performance Engineering — Engineering and management of secure systems.

Purpose:

As part of our research team, you will provide Research and Development (R&D) leadership to a thematic area of science and technology that integrates several thematically aligned R&D groups consistent with ORNL’s aspiration to be the world’s premier R&D institution and ORNL’s science culture.

The R&D Section Head is an internationally recognized research leader with broad scientific influence across the national research funding agencies, who works closely with the Division Director and section Group Leaders to establish and implement the science and technology directions for the section; support the Group Leaders build upon their existing research portfolio and to ensure their success and the success of the R&D groups as world-recognized leaders in their fields; ensure that staff members understand business opportunities; identify links to current and future funding opportunities and R&D programs; develop and implement consistent processes for the peer-review of proposals consistent with lab standards; model proper Environment, Safety, Security, Health, and Quality practices.

Major Duties/Responsibilities:

Research:

Scientists and engineers who have significantly advanced knowledge and impact in their respective field. Their work directly impacts the present or future of the laboratory in significant ways. Initiates, leads and performs R&D programs and initiatives on an ongoing basis.

Leadership:

Work closely with the Division Director and Group Leaders within the section to develop a vision and implement a strategy to pursue world-leading science and technology directions for the section. Demonstrate cross-functional team leadership.
Support Division Director in the operations of the division and represent Director when Director is not available.
Work with section Group Leaders to establish, communicate, and measure critical metrics for success and impact.
Actively contribute to shaping the division’s, directorate’s, and laboratory’s research plans and investments. Build strong teams by collaborating across ORNL and securing external expertise when needed. Leverage ORNL facilities and resources when developing new projects.
Work with the Group Leaders and the Division Director to assess and calibrate individual staff performance across the section. Evaluate progress regularly, providing feedback and addressing performance issues in a timely manner.
Develop and implement Succession Planning with input from Group Leaders for all critical positions in the section to ensure future success.
Ensure groups are recruiting and hiring from a robust pool of top candidates who are committed to world-class research and aspire to be the best in their field. Approve job offers.
Drive staff promotions and development.
Address in a timely manner all concerns expressed by staff and any disciplinary actions.
Lead by example, using the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research and in dealing with others.
Employ best practices, such as holding regular meetings, being visible in the workplace, monitoring budgets, acknowledging sponsors, and adhering to ORNL business systems requirements regarding staff requests for foreign travel and submission of quality proposals.
Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles and ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Model lab expectations for excellence in research, operations, and community engagement, and by working cooperatively to leverage capabilities across the lab.

Service:

Serve as direct supervisor for section Group Leaders.
Counsel/consult/mentor staff and transfer knowledge of specialized field(s) to a variety of staff, including senior staff.
Connect staff to your network. Assist Group Leaders (and R&D staff when appropriate) in setting long-term career goals. Identify additional mentors as appropriate and engage senior staff to act in this capacity.
Be open and transparent in communicating information to your groups and communicate staff achievements and changes to stakeholders in a timely manner.
Work with Group Leaders to ensure staff are participating actively in professional service (engagement in scientific societies, workshop and conference organization, peer review, advisory board membership, etc.).
Advocate for and support internal and external recognition of staff achievements. Ensure the Section’s external professional presence is strong.
Communicate funding/proposal opportunities to staff and support proposal development as appropriate (mentoring, proposal reviews, budget preparation, etc.).
Ensure that staff manage their research projects effectively to deliver results on scope, schedule, and budget while meeting scientific, technical, and business expectations.
Effectively communicate the importance of protecting proprietary or sensitive information and complying with ORNL cybersecurity policies and guidelines.
Recognize and support the contributions and responsibilities of Group Leaders and Laboratory Space Managers to lab safety.
Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Accountabilities:

To section staff, for the quality and safety of their work environment and opportunity for professional growth.
To organization managers, for world-leading science and technology directions, safe effective, and compliant operations, ownership of assigned staff, facilities, and equipment, and the quality of products and services.
To customer, for the quality of products and service.

Authorities:

Develop a vision and implement a strategy to pursue world-leading science and technology directions for the section.
Hold group leaders accountable for performance.
Act to ensure safe and effective operations.
Hire group leaders.

Basic Qualifications:

A PhD in computer science, computer engineering, applied mathematics, or a related field with a minimum of 12 years of relevant experience.
Strong record of scientific achievement as evidenced through publications, software, patents, or impactful R&D outcomes.
Demonstrated experience in leading R&D teams.
Demonstrated experience in effectively leading and managing technical personnel.
Demonstrated experience in following established guidelines and meeting deadlines consistently to ensure efficient organizational operation.
A background that includes research experience in Artificial Intelligence (AI), as evidenced by a strong record of research publications and presentations.
A background that includes research experience in scientific data management, as evidenced by a strong record of research publications and presentations.
The proven ability to positively interact with researchers, program managers, and ORNL leadership.

Preferred Qualifications:

Extensive knowledge and experience developing and applying modern AI methods, including machine learning, deep learning, foundation models, agentic AI systems, graph neural networks, and knowledge‑graph–based reasoning.
Familiarity with integrating AI into scientific workflows at scale.
Leadership in the AI field and strong connections to ORNL and academic AI researchers.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
Evidence of leadership at a DOE laboratory or in a similar external environment and high potential for further leadership development.
Experience recruiting, hiring, and mentoring staff members.
Experience crafting and executing strategies as part of a diverse and cohesive team of managers.
Ability to connect to ORNL's missions and transition research into use.
Ability to work in collaborative, interdisciplinary research environments on problems from diverse application domains and in partnership with specialists in other domains.
Established relationships with federal program managers, industry partners, and academic collaborators.
Leadership in professional communities as evidenced via activities such as participation in professional organizations, organizational activities, etc.
Experience leading or contributing to complex software projects.
Active DOE Q clearance.

Special Requirements:

HSPD-12 PIV badge: This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
Visa Sponsorship: Visa sponsorship is not available for this position.

Visa Sponsorship: Visa sponsorship is not available for this position.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Electric Motors Researcher (Oak Ridge, TN, US, 37830)

Requisition Id 16063

Overview:

The Centrifuge Science (CS) Section within the Enrichment Science and Engineering Division (ESED) at Oak Ridge National Laboratory (ORNL) is seeking an Electric Motor Researcher for the Mechanical Systems Modeling (MSM) Group. The Electric Motor Researcher will conduct detailed analysis of electric motors and motor drive systems used in gas centrifuge applications. This role involves troubleshooting electric motor systems, guiding experimental validation, and supporting the development of advanced electromagnetics solutions.

ESED serves the nation in two critical areas: advancing enrichment technologies and exploring enriched stable isotope production and applications. The division leverages an elite staff of scientists and engineers with the world-leading capabilities of ORNL to deliver groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments.

ESED is the national steward for research, development, and demonstration of centrifuge technology. The successful candidate will participate in research and development (R&D) activities that strategically advance science and technology focused on gas testing of prototype enrichment devices for processing uranium-bearing and stable isotope compounds.

The Mechanical Systems Modeling Group applies first-principles physics and empirically informed methods to advance the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict the behavior of complex rotating machinery operating under extreme conditions. Through the integration of modeling, simulation, and experimental validation, the group supports the design, performance optimization, and reliability of gas centrifuges used in the processing of uranium and stable isotope compounds.

The Electric Motor Researcher will participate in research and development (R&D) related to the analysis, design, and testing of electric motors and motor drive systems. The successful candidate will lead efforts in FEA, guide development, troubleshooting, experimental validation, and demonstration of motors and motor drives, supporting innovation and technical excellence within the group, section, or division. This role also involves collaborating with external vendors to support the scale-up of electric motor manufacturing in alignment with the Nation’s enrichment objectives.

Major Duties/Responsibilities:

The selected candidate will perform advanced electromagnetics analysis, with a focus on motors and electromagnetic assemblies compatible with enrichment devices and related technologies. Other job functions include developing and coordinating tests to characterize mechanical and thermal properties, validating simulations, and providing guidance on formal design, test planning, data analysis, and fabrication in collaboration with stakeholders. The role also involves collaborating with external vendors and contractors to scale motor fabrication while ensuring quality, schedule adherence, and alignment with design specifications.

Key Responsibilities:

Conduct research in the field of electric motors and motor drives, particularly as they relate to centrifuge and enrichment technologies.
Develop, execute, and report on complex simulations and experimental tests, including mechanical and thermal characterization.
Collaborate with line management, project management, and team members to ensure project success.
Contribute significantly to R&D, design development, and experimental troubleshooting activities.
Interface with external vendors and contractors to support the scale-up and fabrication of electric motors, ensuring quality, schedule adherence, and alignment with design specifications.
Prepare high-quality, peer-reviewed classified research reports.
Align behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.
Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

PhD degree and 4 years of relevant postgraduate experience or a MS degree with 10 years of postgraduate experience in electrical engineering or closely related engineering or science discipline.
Excellent communication (verbal and written), strategic planning, organization, and decision-making skills.
Experience testing motors, motor drives, and magnetic material.
Experience designing fixtures and apparatuses for testing magnetics and motors.

Preferred Qualifications:

Active DOE Q clearance.
Experience in full product development, from concept through large-scale manufacturing.
Demonstrated leadership experience in technical or project settings.
Proficiency with ANSYS Maxwell or related simulation software.
Experience programming with MATLAB, C++, or Python.
Experience in modeling electric motors and electromagnetics.
Hands-on experience designing and fabricating electric motors.
Strong knowledge of motor control techniques used in motor drive systems.
Understanding of motor drive modulation techniques and their impact on motor design.
Familiarity with position feedback systems and their integration in electric machines.

Special Requirements:

Q Clearance: This position requires the ability to obtain and maintain a DOE Q clearance from the US Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a preplacement drug test and participation in an ongoing random drug testing program.
Visa Sponsorship: Visa sponsorship is not available for this position.

Relocation:

About the Isotope Science and Enrichment Directorate (ISED):

Established in 2020, ISED is strengthening ORNL’s leadership in isotope production and enrichment technology innovation. ISED is guiding the laboratory’s pursuit of the fundamental science and technology that broadens the application of isotopes for energy, environmental, medical, and national security purposes. These efforts are made possible through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL’s other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https://www.ornl.gov/directorate/isotopes for more information about ISED.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior Research Scientist, HPC and AI (Oak Ridge, TN, US, 37830)

Requisition Id 16413

Overview:

The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring Senior Research Scientist to push the frontier of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate discovery across domains (materials, chemistry, climate, fusion, biology, and more).

NCCS operates the Frontier exascale supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods into scientific impact.

Examples of Focus Areas:

Agentic AI for Science: Autonomous and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration.
Scientific Reasoning: Program/path-of-thought, tool-augmented and retrieval-augmented reasoning; uncertainty quantification and calibrated decisions.
RL & Self-Improving Models: RLHF/RLAIF, online RL, self-play, open-ended discovery, reward modeling, curriculum/active learning, data selection, iterative post-training, safety alignment and guardrails.
Foundation Models for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents.
Federated & Collaborative Learning: Cross-silo training across institutions and facilities; privacy-preserving learning (secure aggregation, differential privacy, MPC/HE); personalization under heterogeneity; governance-aware data/model sharing; collaborative evaluation

The NCCS is the home of the world’s first exascale supercomputer Frontier. Our Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines. We are an inclusive dynamic environment that welcomes those with initiative and creativity.

Major Duties and Responsibilities:

Develop and coordinate division activities in HPC-AI with cross-cutting initiatives in the laboratory by establishing forward-looking centers of excellence.
Lead and collaborate with internal and external researchers on a variety of extreme-scale AI/ML research and projects.
Lead in authoring peer reviewed papers, technical papers, reports, and proposals. Advance personal and staff contributions in leading professional, academic, and research organizations.
Advance personal and staff contributions in leading professional, academic, and research organizations.
Team Building & Mentorship: Provide mentorship to postdocs, students, and junior staff, fostering long-term career development.
Stakeholder Engagement: Effectively communicate vision, strategy, and progress to DOE sponsors, industrial partners, and international collaborators.

Basic Qualifications:

PhD in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
A minimum of 6 years of relevant research experience outside of Ph.D.
Demonstrated research in cross-cutting fields of HPC and/or AI.

Preferred Requirements:

Demonstrated leadership in conceiving, planning, and delivering large-scale HPC-AI projects with measurable scientific or technological impact.
Experience securing competitive funding (e.g., DOE, NSF, DARPA, industry consortia) and leading multi-institution proposals.
Recognition by the broader community – invited talks, keynote addresses, professional society awards, or major benchmarks.
Impactful open-source contributions to HPC or AI framework (e.g., Megatron-LM, DeepSpeed, Ray, Distributed RL)
Interdisciplinary collaboration experience – working with domain scientist (climate, material, fusion, biology) to translate methods into real discoveries.
Strategic vision – ability to identify long-term research directions at the intersection of AI, HPC and domain sciences.

Special Requirements:

Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

HPC Cybersecurity Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16407

Overview:

The National Center for Computational Sciences (NCCS) at Oak Ridge National Laboratory (ORNL) operates the fastest High Performance Computers (HPC) in the world. We are seeking an experienced security engineer who can bridge hands-on engineering and security governance to ensure the security, performance, and reliability of the NCCS computing infrastructure. Our efforts support a highly-skilled user base consisting of the best-of-the-best science teams around the world. If you are excited about applying DevSecOps and risk-based security practices to HPC, come help us protect the integrity of open science publications and national interests that rely on NCCS supercomputing resources and expertise.

The Team:

The HPC Cybersecurity Engineering team is one half of the NCCS Security and Information Engineering Group. We architect, develop, deploy, and maintain the supercomputing-specific security program (an enclave within the broader ORNL authorization boundary) and provide HPC security expertise to projects of national interest. We collaborate across incident response, blue team engineering, vulnerability research, policy architecture, and DevSecOps. We work closely with scientific and operations teams and act as liaisons to ORNL’s broader risk management framework. We are a Linux focused environment with security challenges that prioritize scale, performance, and scientific computing integrity.

About You:

You automate wherever possible, using Infrastructure as Code (IaC) and repeatable patterns so security can scale with operations. You can translate governance requirements into implementable standards and aggregate technical realities into clear risk-based decision options for leadership. You collaborate well, document what matters, and enjoy driving improvements that are both technically sound and audit ready. You may have more than a couple of our Preferred Qualifications and probably do not yet have any prior HPC experience. You may have technical leadership experience and/or want to grow into this role. You may or may not think Hackers is an incredible movie.

Major Duties/Responsibilities:

Translate complex technical concepts to communicate effectively with scientific, operations, project, and management staff
Help shape the Supercomputing security architectural vision and lead security reviews of new capabilities, services, and designs against core security plans
Design, implement, and automate policy/control assessments to verify cybersecurity and operational policy compliance
Engineer secure software development frameworks, tools, and guardrails that enable teams to deliver securely at HPC scale
Define and implement best practices, standards, and technical baselines within the organization
Analyze, triage, and respond to application, system, and network security relevant events
Serve as a security liaison for projects of national interest and external partners
Interpret cybersecurity policy and requirements; recommend enhancements to current policies/standards and lead implementation efforts with stakeholders
Lead vulnerability management activities including remediation coordination, patch planning, verification, and approved penetration testing
Document cybersecurity procedures, standards, control narratives, and decision records to support operations, audits, and continuous improvement
Participate in a 24/7 on-call incident response rotation

Basic Qualifications:

Bachelor’s degree in Computer Science, Cybersecurity, or related field
Minimum of five years of relevant experience
Equivalent combination of education and experience will be considered

Preferred Qualifications:

Master’s degree in Computer Science, Cybersecurity, or related field and at least eight years of relevant experience
Strong understanding of U.S. Federal cybersecurity frameworks, standards, and guidelines including FISMA, NIST RMF (SP 800-37) and SP 800-53, FIPS 199/200, FedRAMP, and OMB Memorandums
Experience as an Information Systems Security Officer (ISSO) and/or administering systems in UNIX/Linux environments
Solid understanding of networked computing concepts and common protocols (DNS, DHCP, LDAP, SNMP, SMTP, HTTP(S), TLS/SSL)
Experience representing organization during security cybersecurity audits
Familiarity building or operating security tools such as SIEMs, vulnerability scanners, NIDS/HIDS, server telemetry, and detection engineering
Experience with incident response and Linux forensics
Familiarity with automated configuration management tools
Experience in network, application, and/or security architecture and design, including threat modeling and security review practices
Experience in a high-performance computing environment (nice to have), including multi-tenant compute, high-speed interconnects, and parallel filesystems

Special Requirements:

This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Director - Scientific AI R&D (Oak Ridge, TN, US, 37830)

Requisition Id 16430

Overview:

Oak Ridge National Laboratory (ORNL) is seeking a visionary Director of AI Foundations for Science to lead the laboratory’s strategic direction and execution at the intersection of artificial intelligence, high-performance computing, and scientific discovery.

As the Department of Energy’s largest science and energy laboratory, ORNL delivers breakthrough capabilities in computing, neutron science, materials, energy, and national security.

This role will define and drive the next generation of AI-enabled scientific discovery, building on ORNL’s leadership in exascale computing and emerging sovereign AI infrastructure for science.

This position will report to the Associate Lab Director of Computing and Computational Sciences Directorate and will play a central role in shaping laboratory-wide and national strategies for AI-driven science and engineering.

Major Duties/Responsibilities:

Strategic Leadership

Define and execute ORNL’s strategy for AI as a foundational scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures.
Establish R&D priorities across:
- AI foundation models trained on scientific and simulation data at scale
- Mathematical foundations of scientific AI
- Physics-informed and hybrid AI (AI + simulation + experimental data fusion)
- AI-HPC co-design, including new programming models and system architectures
Serve as the laboratory’s focal point for AI innovation at the frontier of computation, enabling downstream application domains (energy, security, materials, biology) through shared capabilities and platforms

Partner with other ORNL leaders to:

- Advance agentic and autonomous discovery systems tightly coupled to instruments and facilities
- Advance data-centric and multimodal AI pipelines for scientific workflows
- Drive integration of AI into major user facilities, instruments, and simulation environments
Position ORNL as the global leader in integrated AI + HPC + experimental science ecosystems

Research & Program Development

Lead and grow world-class, multidisciplinary R&D programs spanning computational science, applied AI, and domain science
Shape and advance a research portfolio that integrates foundational applied mathematics, computer science, and trustworthy AI to support scientific AI and computational discovery.
Identify and scale high-impact flagship initiatives demonstrating end-to-end AI-enabled scientific workflows

Partnerships & External Engagement

Build and lead strategic partnerships with:
- Industry (hyperscalers, AI companies, semiconductor firms)
- Universities and academic consortia
- Other DOE laboratories and federal agencies
Expand industrial engagement and co-development programs, including joint AI platforms and applied science use cases
Represent ORNL in national and international AI strategy forums
Work in close partnership with AI and autonomous science leaders across ORNL scientific domains, Applied Energy Sciences and National Security to translate foundational AI advances into mission impact, while maintaining a clear separation between capability creation and mission deployment

Modernization & Transformation

Drive modernization of scientific workflows through:
- AI-native software ecosystems
- Data-centric architectures and platforms
- Agentic and autonomous laboratory capabilities
Support ORNL in adoption of AI to transform laboratory operations, including proposal development, safety, and facility optimization
Advance ORNL toward a fully integrated physical–digital laboratory model

Organizational Leadership

Build, mentor, and lead high-performing teams across AI, computing, and domain science
Foster a culture of mission impact, collaboration, and urgency in a rapidly evolving global landscape
Partner across directorates to ensure cross-cutting integration of AI capabilities

Basic Qualifications:

Ph.D. in a relevant STEM discipline, including but not limited to Computer Science, Applied Mathematics, Engineering, or a related field.
15+ years of experience beyond Ph.D. in AI, computational science, or related fields
Demonstrated leadership of large-scale R&D programs and multidisciplinary teams
Internationally recognized expertise in one or more areas:

Machine learning / AI
Scientific computing / HPC
Data-intensive science

Strong track record of securing and managing major research programs or partnerships

Preferred Qualifications:

Experience operating at the intersection of AI, HPC, and scientific domains (e.g., materials, biology, energy, physics)
Proven ability to build public-private partnerships at scale
Experience with DOE, national laboratory, or comparable mission-driven environments
Vision for AI-driven transformation of science and engineering workflows
Demonstrated success influencing national or institutional strategy

Why ORNL?

Home to leadership-class computing and emerging AI infrastructure
Unmatched integration of experimental facilities, computing, and data ecosystems
Mission-driven environment addressing the nation’s most critical challenges
Opportunity to define the future of AI-enabled science at national scale

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate- Physical Metallurgist (Oak Ridge, TN, US, 37830)

Requisition Id 16389

Overview:

We are seeking a Physical Metallurgist who will focus on processing structure property relationships in structural materials. This position resides in the Materials for Advanced Manufacturing GROUP in the Materials Structure and Processing Science Section, Materials Science & Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Understand phase transformation and physical metallurgy of various ferrous and non-ferrous alloys.
Metallography and characterization of parts as well as components manufactured via additive and conventional manufacturing techniques.
Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting basic and applied research in support of the Laboratory’s missions.
Support senior staff in the development and execution of projects that provide valued and timely deliverables to various stakeholders.
Ensure compliance with environment, safety, health, and quality program requirements per ORNL’s Standards-Based Management System (SBMS).
Maintain strong dedication to the implementation and perpetuation of institution values and ethics.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

PhD in materials science and engineering, mechanical engineering or a related field completed within the last 5 years.

Preferred Qualifications:

Background and expertise in physical metallurgy, phase transformation, and characterization of Fe-, Ni-, and Ti- based alloys.
Preferred hands-on experience and expertise in advanced characterization methods such as scanning electron microscopy with focused ion beam (SEM-FIB), transmission Kikuchi diffraction (TKD), scanning transmission election microscopy (STEM/TEM), electron energy loss spectroscopy (EELS), atom probe tomography (APT), X-ray diffraction (XRD)
Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Security, Credentialing, and Eligibility Requirements

Postdocs:

Letters of Recommendation:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Chief Science and Technology Strategist (Oak Ridge, TN, US, 37830)

Requisition Id 16385

Overview:

Oak Ridge National Laboratory (ORNL) seeks a visionary and mission-driven Chief Science and Technology Strategist (CSTS) to serve as a senior leader within a major research directorate with an annual portfolio of approximately $600M. Reporting directly to the Associate Laboratory Director (ALD), the CSTS will play a critical role in shaping the directorate’s scientific and technological direction, ensuring alignment with national priorities, and strengthening ORNL’s leadership in emerging and mission-relevant domains.

The CSTS will serve as a principal advisor to the ALD on current and future science and technology trends, with particular emphasis on quantum technologies, artificial intelligence, advanced computing, and information dominance. The role requires a nationally recognized leader with deep technical expertise, strategic vision, and a demonstrated ability to build and sustain high-impact programs in complex, classified, and mission-driven environments. The CSTS will also act as a senior external ambassador, engaging with sponsors across the Department of Defense, the Intelligence Community, and other national security stakeholders.

Purpose:

The purpose of the CSTS role is to define and drive a forward-looking science and technology strategy that positions the directorate—and ORNL more broadly—for sustained leadership in national security innovation. This includes leading the development and implementation of an integrated R&D strategy that aligns future technological trends with mission needs and leverages the full breadth of capabilities within the National Security Sciences Directorate (NSSD) and across ORNL.

The CSTS will be responsible for shaping and expanding strategic programs and partnerships with the Department of Defense and the U.S. Intelligence Community, particularly in areas such as quantum technologies, quantum-enabled information dominance, classified high-performance computing, and advanced AI capabilities. The role will identify emerging opportunities, guide investment priorities, and translate cutting-edge science into mission-relevant solutions.

Additionally, the CSTS will foster cross-organizational collaboration, drive innovation across the directorate’s portfolio, and ensure that ORNL remains at the forefront of addressing evolving national security challenges through science and technology leadership.

About NSSD:

Oak Ridge National Laboratory’s National Security Sciences Directorate (NSSD) leads the development and application of advanced science and technology to address some of the nation’s most pressing national security challenges. NSSD stewards ORNL’s capabilities across defense nuclear nonproliferation, cyber-physical security, geospatial intelligence, defense advanced manufacturing, and national security high-performance computing and artificial intelligence. With annual research expenditures of approximately $600 million and more than 2,200 staff across ORNL contributing fully or partially to its mission, NSSD represents a significant and growing component of ORNL’s portfolio.

NSSD leverages the Laboratory’s world-class facilities and multidisciplinary expertise, working closely with leading researchers in nuclear and chemical engineering, applied materials, advanced manufacturing, biosecurity, transportation, fission and fusion, and computing. Through these integrated capabilities, the directorate confronts complex and evolving threats that impact public safety, national defense, energy infrastructure, and economic stability. In partnership with sponsors across the Department of Energy, Department of War and the Intelligence Community, NSSD delivers innovative, mission-driven solutions designed to outpace adversaries. The Chief Science and Technology Strategist will join this dynamic environment, helping to shape the future of science and technology in support of national security.

Major Duties and Responsibilities:

1. Strategic Leadership and Vision

Develop, articulate, and execute a comprehensive, forward-looking vision and strategy for classified defense and intelligence R&D aligned with the ORNL Lab Agenda and national security priorities.
Serve as a senior advisor to the ALD and Directorate leadership on emerging S&T trends, R&D gaps, and strategic investment priorities.
Identify, evaluate, and integrate emerging and disruptive technologies (e.g., quantum, AI, advanced computing) to anticipate future mission needs and position ORNL for sustained leadership.
Increase enterprise awareness of future technology landscapes and their implications for national security, shaping long-term institutional direction.

2. Mission Impact and Program Development

Drive the development, growth, and execution of high-impact, mission-aligned R&D programs across classified domains.
Shape and influence the directorate’s research portfolio to ensure alignment with sponsor priorities across DoD, the Intelligence Community, and other national security stakeholders.
Translate emerging science and ORNL capabilities into mission-relevant solutions that address evolving national security challenges.
Steward the NSSD LDRD strategy and process to ensure investments enable next-generation S&T and mission differentiation.

3. External Engagement and National Leadership

Serve as a senior external ambassador for ORNL, advancing the laboratory’s reputation and influence across government, industry, academia, and other national laboratories.
Cultivate and sustain strategic relationships with senior sponsor leadership, enabling long-term program growth and mission relevance.
Lead and facilitate high-level sponsor engagements, positioning ORNL as a trusted partner in delivering classified and mission-critical capabilities.
Represent ORNL in national-level forums, advisory bodies, and strategic initiatives to shape the broader S&T ecosystem.

4. Enterprise Integration and Operational Stewardship

Foster integration across ORNL directorates to leverage the full breadth of laboratory capabilities in addressing complex, multidisciplinary challenges.
Ensure alignment of R&D activities with institutional priorities, operational frameworks, and resource strategies.
Uphold and enforce ORNL policies, standards, and procedures, including the safe, secure, and compliant conduct of research in classified environments.
Drive operational excellence across the directorate’s portfolio, ensuring accountability, efficiency, and impact at scale.

5. People Leadership and Culture

Champion a culture of scientific excellence, innovation, and collaboration across the directorate and broader laboratory.
Enable high-performing, multidisciplinary teams by fostering collaboration between researchers, leadership, and external partners.
Promote workforce engagement, inclusion, and development consistent with ORNL leadership expectations.
Lead by example in integrity, accountability, and commitment to mission, safety, and community engagement.

Basic Requirements:

Advanced degree (Ph.D. preferred) in a relevant scientific, engineering, or technical discipline (e.g., physics, computer science, engineering, or related field).
Deep technical expertise in one or more mission-relevant domains such as quantum science, artificial intelligence, advanced computing, or related areas.

Minimum of ~15 years of progressive experience in science and technology leadership, including significant experience in national security, defense, or intelligence environments.
Demonstrated experience leading large, complex R&D portfolios (typically $100M+ annually), with accountability for strategy, execution, and growth.
Proven track record of developing and scaling major programs with the Department of Defense, Intelligence Community, or other federal sponsors.
Demonstrated ability to define and execute long-term, enterprise-level S&T strategy, including aligning institutional capabilities with national priorities and emerging technology trends.
Experience influencing organizational direction at the directorate, laboratory, or enterprise level, not just within a single program or division.
Strong record of anticipating and operationalizing emerging and disruptive technologies into mission-relevant capabilities.
Established reputation as a nationally recognized leader in a relevant technical domain, evidenced by program leadership, advisory roles, publications, or participation in national boards and panels.
Demonstrated success in building and sustaining senior-level relationships with DoD, Intelligence Community, and other key sponsors.
Proven ability to represent an organization at national forums, shaping policy, strategy, or technical direction.
Demonstrated success in growing and managing high-impact R&D programs, including securing significant funding and delivering mission-relevant outcomes.
Experience translating advanced scientific capabilities into operational or mission-deployed solutions.
Strong understanding of classified program environments, including requirements, constraints, and opportunities.
Experience leading through complexity, including matrixed organizations and cross-directorate integration.
Demonstrated commitment to operational excellence, including safety, security, and compliance in research environments.
Experience shaping or overseeing strategic investment mechanisms (e.g., LDRD or equivalent).
Proven ability to lead, influence, and inspire senior technical leaders and multidisciplinary teams.

Strong commitment to fostering a culture of innovation, collaboration, and inclusion.
Demonstrated leadership in mentoring, developing, and retaining high-performing talent.

Preferred Qualifications:

Demonstrated track record of R&D leadership in national and/or international engagements that seek to sustain and strengthen the national security community.
Experience working for or collaborating with Department of Energy national laboratories (or similar R&D organizations).

Special Requirements:

Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Assistant Technical Professional- Materials Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16289

Overview:

We are seeking a Materials Engineer with a strong foundation in materials science and mechanical engineering to contribute to R&D efforts focused on mechanical behavior and underlying material mechanisms. This position resides in the Mechanical Behaviors and Mechanics Group in the Materials in Extremes, Materials Science and Technology Division, Physical Sciences Directorate, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Assist with coordinating research projects ensuring alignment with organizational goals.
Administer daily operations and maintain compliance with safety protocols.
Conduct routine experiments and analyze data to support research objectives.
Document experimental procedures, results, and technical reports for internal dissemination.
Implement new methodologies and recommend improvements to enhance research outcomes.
Apply knowledge to evaluate material’s performance and identify opportunities to optimize processes.
Communicate research findings and collaborate with stakeholders to drive project success.
Develop materials evaluation procedures and provide technical support to project principal investigators
Complete training activities for professional development.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

Bachelor's degree in experimental mechanics, materials science and engineering or mechanical engineering, nuclear engineering or a closely related field.
Experience in high-temperature experimental mechanics and mechanical behavior

Preferred Qualifications:

Solid background in materials science, with a focus on mechanical behavior and deformation and failure mechanisms
Ability in experiment design, and hands-on mechanical property testing
Familiarity with relevant ASTM or ISO standards for mechanical testing is a plus
Proficiency in data analysis tools (e.g., MATLAB, Python, or similar) for processing experimental results
Excellent written and oral communication skills. Strong technical documentation and reporting skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Visa sponsorship is not available for this position.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

R&D Scientist (Oak Ridge, TN, US, 37830)

Requisition Id 16391

Overview:

The Quantum Communications and Networking Group, within the Quantum Information Sciences Section, Computational Sciences and Engineering Division at Oak Ridge National Laboratory, is seeking a research and development (R&D) Scientist.

Major Duties/Responsibilities:

Participate in new and ongoing research on classical and quantum optics communications and sensing projects.
Formulate novel classical and quantum optical sensing solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions
Participate in field testing and demonstrations
Interpret, report, and present research concepts and results to national audiences at all levels
Write peer-reviewed papers and technical reports for internal and external release and represent the organization by giving technical presentations in large public forums
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD in physics, optics, electrical engineering, or a related field completed within the last 10 years

Preferred Qualifications:

We are interested in candidates with general research experiences in classical and quantum optics, optical sensing, and quantum information science
Priority is given to candidates with proven experience designing, building, testing, and integrating novel quantum and/or classical optical communications and sensing hardware in critical infrastructure and/or extreme (heat, electrical, high pressure, vacuum, radiation) environments.
Experience with data analysis using MATLAB or Python
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Proven ability to conduct field work in austere environments
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:

Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Principal OT/ICS Cybersecurity Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16383

Overview:

We are seeking a Cybersecurity Operational Technology (OT) Engineer to support the protection, monitoring, and modernization of OT and Industrial Control System (ICS) environments within the Cybersecurity Division’s Cyber Enhancements Group. This role is responsible for engineering, operating, and enhancing OT cybersecurity capabilities to improve visibility, detection, and response across industrial and research control systems while ensuring alignment with applicable regulatory and compliance requirements.

In this role, the engineer will focus on maintaining and advancing OT security monitoring platforms, supporting threat detection and response activities, collaborating with operations teams to modernize legacy ICS environments, and developing standardized processes for monitoring, investigating, and responding to OT related cyber events. The position works closely with Defensive Cyber Operations, Cyber Policy & Risk Management, Networking, Platform Services, and OT system owners to ensure secure architecture, effective monitoring, and continuous improvement of OT cybersecurity posture.

This position resides in the Cyber Enhancements Group within the Cybersecurity Division of the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Serve as the primary technical authority and program owner for the OT/ICS cybersecurity strategy, roadmap, and maturity model aligned with laboratory mission and DOE requirements
Own the architecture, implementation, and continuous improvement of OT security monitoring platforms (e.g., Nozomi, Dragos), including alert triage, tuning, use-case development, and integration with enterprise detection and response processes
Establish and maintain laboratory-wide standards, processes, and playbooks for OT cybersecurity monitoring, incident response, threat hunting, and post-incident analysis
Lead OT-specific threat detection, investigation, and response activities in coordination with Defensive Cyber Operations and relevant SMEs, ensuring safe containment strategies appropriate for control systems
Collaborate with OT system owners and engineering teams to modernize legacy ICS environments, including network segmentation, secure architecture design, device inventory, registration, and patching programs
Assist with risk assessments, root cause analysis, and long-term remediation planning for OT cybersecurity events, vulnerabilities, and architectural gaps
Interpret and apply applicable standards and requirements for OT environments
Serve as key interface between OT operations, cybersecurity governance, compliance, and audit activities, including preparation of documentation, risk artifacts, and technical briefings
Guide integration of OT cybersecurity tooling and workflows with SIEM, SOAR, EDR, and endpoint protection platforms
Utilize EDR tools to help develop detection rules, investigate threats, and resolve alerts
Collaborate to create and test threat hunting hypotheses and perform proactive detection activities
Review and provide guidance on secure design approaches for OT systems and interfaces with enterprise IT and research networks
Participate in penetration testing activities and cybersecurity exercises where appropriate
Mentor and provide technical guidance to engineers and analysts supporting OT cybersecurity capabilities
Prepare technical reports, metrics, findings, and briefings for laboratory leadership and authorized stakeholders

Basic Qualifications:

BS in computer science, cybersecurity, or a related field with a minimum of five years of relevant professional experience in OT/ICS cybersecurity, industrial control systems, or critical infrastructure environments. An equivalent combination of education and experience may be considered
Demonstrated experience owning or leading cybersecurity capabilities, architectures, or programs, not solely operating tools
Strong knowledge of OT/ICS security principles, including secure architecture, segmentation, monitoring, and incident response
Ability to interpret and apply regulatory standards such as NERC CIP, DOE cybersecurity directives, and other industry-specific compliance frameworks
Proficiency in network protocols (TCP/IP, UDP) and industrial protocols such as Modbus, DNP3, OPC UA, IEC 61850, and others
Knowledge of secure architecture principles for ICS/SCADA systems and segmented network design
Experience with SIEM platforms (Elastic, Splunk) and Endpoint Detection and Response (EDR) tools for host security monitoring
Demonstrated ability to analyze OT security events and articulate detection, response, and remediation approaches across operational scenarios

Preferred Qualifications:

A master’s degree in computer science, cybersecurity, or a related discipline
Four (4) or more years of experience supporting OT, ICS, or cyber operations in industrial or critical infrastructure environments
Industry certifications such as GRID (SANS) certifications in Control Systems
Active DOE Q or Top-Secret clearance
Experience with SOAR development to improve metrics, dashboards, and reduce incident response noise
Knowledge of MITRE ATT&CK methodology
Working knowledge of Active Directory, Linux, and Windows operating systems with a focus on cybersecurity
Understanding of networking concepts including ports, protocols, packet analysis, and perimeter traversal
Familiarity with scripting and configuration languages for operational security and monitoring tasks
Experience integrating tools and platforms via APIs
Experience working with ticketing systems such as Service Now and Atlassian products
Experience with Azure or other cloud technologies
Experience supporting DOE facilities or other government entities
Familiarity with large-scale research environments (>6,000 employees)
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Experimental Geochemistry (Oak Ridge, TN, US, 37830)

Requisition Id 16381

Overview:

We are seeking a Postdoctoral Research Associate who will focus on understanding the longevity of precipitated amorphous materials, including those containing critical materials. This position resides in the Geochemistry and Interfacial Sciences (GIS) Group in the Chemical Science Division (CSD) at Oak Ridge National Laboratory (ORNL).

The selected candidate will work collaboratively with scientists in CSD to develop an understanding of stability of amorphous carbonate and other amorphous materials. In addition to working in GIS group laboratories, the research will also take advantage of DOE user facilities, e.g., the Spallation Neutron Source (SNS) and Center for Nanophase Materials Sciences (CNMS) at ORNL or at the Advanced Photon Source (APS) at Argonne National Laboratory.

The Postdoctoral Research Associate will focus on scientific projects to advance our understanding of the lifetimes of amorphous materials, including those containing critical materials. You will work as part of a team whose interests include, but not limited to, chemical separation, chemical extraction, structural characterization, and solution-solid reaction.

Our main goals are: (1) Synthesize amorphous carbonates or other amorphous materials and conduct amorphous-to-crystalline transformation experiments, (2) Perform X-ray, neutron and microscopy measurements on powder (crystalline or amorphous) samples under in situ conditions (3) Utilize complementary characterization techniques.

Major Duties/Responsibilities:

Perform wet chemical experiments to synthesize amorphous materials
Perform neutron and X-ray scattering experiments that focus on in situ observation of kinetics and analyze data
Publish scientific papers and present results from this research at national and international meetings as appropriate.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD in geosciences, chemistry, materials sciences, materials chemistry, chemical engineering or a related field completed within the last 5 years.
Experience with synthesis and characterization of minerals, precipitated amorphous materials or nanomaterials

Preferred Qualifications:

Experience in wet chemistry
Experience with solid characterization (e.g., Raman, SEM, EPMA and other characterization techniques) and liquid characterization (e.g., ICP-OES or ICP-MS).
Experience with working in user facilities.
A strong record of productive and creative research demonstrated by publications in peer-reviewed journals and presentations at scientific conferences.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Security, Credentialing, and Eligibility Requirements

Special Requirements:

Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Letters of Recommendation:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Geospatial Data Services and Visualization Specialist (Oak Ridge, TN, US, 37830)

Requisition Id 16394

Overview:

We are seeking a Geospatial Data Services and Visualization Specialist to support geospatial data and visualization services for NASA-funded ORNL Distributed Active Archive Center (ORNL DAAC). This position resides in the Remote Sensing and Environmental Informatics Group in the Earth System Informatics and Data Discovery Section, Environmental Sciences Division, Biological and Environmental Systems Science Directorate, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Oversee publication of geospatial data services (features, image) and their lifecycle management, ensuring data and metadata compliance.
Develop and maintain backend scripts and workflow automation tools for various platforms, including GIS portals, AWS-hosted environments, and associated enterprise systems.
Collaborate with internal and external teams to meet sponsor’s requirements.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

B.S. or M.S. in geography, geographic information science (GIS), computer science, applied sciences such as ecology or a related field with a minimum of two years of experience (B.S.) or one year of relevant experience (M.S.)
Familiarity with GIS concepts, spatial data, and geospatial workflows, including geospatial data transformation and visualization, spatial data standards, projections, and metadata best practices
Familiarity with traditional and cloud-optimized geospatial data formats for earth observation datasets such as cloud-optimized geotiffs (COG), netCDF, HDF, and ENVI.
Experience working with geospatial data servers, including ESRI ArcGIS Enterprise software and tools, including ArcGIS Pro and Portal for ArcGIS. Familiarity with ArcGIS and Open Geospatial Consortium (OGC)-complaint raster and feature geospatial services.

Preferred Qualifications:

Excellent written and oral communication skills.
Proficiency in GIS libraries like GDAL or rasterio/xarray, arcpy, and shell environments.
Experience in the data quality assurance and quality control of geospatial data
Experience in supporting web GIS applications using ESRI Story Maps and ArcGIS Dashboard.
Experience authoring and reviewing YAML/JSON files for configuration and data pipelines
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams
Ability to function well in a fast-paced environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs

Special Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
Visa sponsorship is not available for this position.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior Radiological Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16398

Overview:

We are seeking a Senior In Vivo Radiological Engineer who will focus on In Vivo operations and administration of the Internal Dosimetry Program Laboratory Information Management System (LIMS). This position resides on the Nuclear and Radiological Measurements (NRM) team of the Nuclear Measurements and Analytical Services (NMAS) Group within the Nuclear and Radiological Protection Division (NRPD) under the Environmental, Safety, Health, and Quality directorate at Oak Ridge National Laboratory (ORNL).

The ORNL Internal Dosimetry Program is accredited by the Department of Energy Laboratory Accreditation Program (DOELAP) for Radiobioassay (In Vivo and In Vitro), for which NRM provides whole body counting, lung counting, and wound counting services at ORNL and other DOE prime contractors in Oak Ridge, TN.

Major Duties/Responsibilities:

Oversee the day-to-day operation of the whole-body counting, lung counting, and wound counting capabilities, facilities, instrumentation, and metrics.
Review and approve in vivo measurement results, calculations, logs, and QC data.
Ensure that equipment maintenance and calibrations are kept up to date.
Maintain DOELAP accreditation for the in vivo counting laboratory.
Ensure that in vivo laboratory personnel are trained and qualified to perform their assigned duties.
Develop/revise/maintain procedures and technical documents related to the in vivo laboratory instrumentation and operations.
Participate in incident/accident-based investigations requiring in vivo measurement support due to potential intakes of radioactive material.
Troubleshoot equipment and other technical issues as necessary.
Develop equipment life-cycle schedule/plan.
Manage data for the ORNL Internal Dosimetry Program. Serve as the administrator/ software owner for the Laboratory Information Management Systems (LIMS) used for Internal Dosimetry operations and work with NRPD personnel, IT personnel, and other supporting groups to maintain and improve the LIMS.
Assess LIMS user requests and implement changes that keep the system aligned with evolving operational needs, including new assays, workflows, and system integrations.
Interface with other ORNL Internal Dosimetry Program technical staff, auditors, customers, vendors, and suppliers, as required.
Participate in audits, inspections, verifications, and surveillances.
Support other activities in the Nuclear Measurements and Analytical Services Group as needed.
Ensure all work is carried out safely, securely, and in compliance with ORNL’s ESH&Q policies, standards, and procedures.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS Degree in health physics, nuclear engineering, physics, chemistry, or a related technical field.
Eight or more years of professional experience in health physics, nondestructive assay, or operational radiation protection.
Demonstrated experience with nuclear measurements and gamma spectroscopy applications.
Knowledgeable of laboratory quality assurance processes and procedure development.
Experience with relational databases, SQL, and scripting languages (e.g. Python, PowerShell).

Preferred Qualifications:

An advanced science or engineering degree in directly related discipline (e.g. health physics, physics, radiochemistry, etc.) will be given appropriate consideration in lieu of experience.
Well versed in current regulatory and consensus standards for radiobioassay.
Advanced computing skills, including data reduction, analysis, and presentation.
Advanced knowledge and experience with laboratory information management systems.
Knowledge of Mirion’s Genie 2k, APEX In-vivo, and Abacos2K software applications with HPGe and NaI detectors.
Knowledge of in vitro radiobioassay analyses and workflow.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Physical Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
Visa Sponsorship: Visa sponsorship is not available for this position.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Control System Software Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16433

Overview:

The Controls Integration Group at the Spallation Neutron Source (SNS) is seeking a Control System Software Engineer who will focus on control system applications, system development and operations support. This position is part of the Controls Integration Group within the Control Systems Section, Research Accelerator Division of the Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).

The group is responsible for maintaining and improving fully integrated control systems for the SNS Accelerator to ensure safe, high-reliability beam delivery to the target. These systems typically utilize PLC, VME, or MicroTCA hardware, integrated using the Experimental Physics and Industrial Control System (EPICS) framework.

This position reports to the Controls Integration Group Leader. The group is currently focused on modernizing the control system environment. Ongoing upgrade projects include replacing legacy equipment with modern solutions, expanding those associated applications, and enhancing the control room operator experience using the latest software tools.

The selected candidate will support these modernization efforts by:

Developing EPICS applications to support embedded and FPGA based systems

Upgrading existing EPICS applications and user interfaces

Complete verification, deployment, and system integration of EPICS applications for production use

Major Duties and Responsibilities:

Support the scientific mission of SNS by developing reliable, maintainable software for accelerator and target control systems as part of a multidisciplinary team.

Collaborate with group members, scientific staff and operations personnel to design, develop, maintain, and improve EPICS-based control systems.

Maintain and support existing production software, including performing troubleshooting and resolving bugs.

Create and maintain software documentation and accompanying training materials.

Adhere to Software Quality Assurance procedures, including managing source code in a central repository with version control systems and developing comprehensive software testing procedures.

Provide operational support, troubleshooting, and system improvements for accelerator and target control systems. While typical work hours are office-based, occasional off-hours or weekend support may be required to meet user facility needs.

Ensure compliance with environmental, safety, health, and quality procedures and programs.

As a member of the ORNL scientific community, commit to ORNL’s Research Code of Conduct. The full code of conduct and a statement from the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS degree in engineering, computer science or related field plus two or more years of relevant experience (a relevant MS degree will be considered with at least one year of experience)

Demonstrated experience with embedded systems and/or systems programming

Experience developing applications or systems programming in a Linux environment

Demonstrated programming experience in modern object-oriented programming languages, preferably C++

Proficiency with collaborative software development tools and practices, such as software debugger, version control, issue tracking, documentation

Preferred Qualifications:

Experience with EPICS or a similar toolkit for developing distributed control systems

Exposure to additional programming languages, such as C, Python, Java or similar

Familiarity with real-time operating systems and software practices

Prior experience working in a scientific user facility

Experience with GitLab and CI/CD pipelines

Hands-on experience with in-field troubleshooting of software and hardware interfaces

Special Requirements:

Physical Requirements: Work involves some physical requirements and working conditions. As such, a pre-hire physical will be required after offer.

Visa sponsorship is not available.

Benefits at ORNL:  

We offer competitive pay and benefits programs to attract and retain hardworking people! The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, and Employee Discounts. Relocation Assistance is available for certain positions.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Mechanical Engineer - Chilled Water Utilities (Oak Ridge, TN, US, 37830)

Requisition Id 16426

Overview:

We are seeking a Mechanical Engineer who will focus on daily operations and maintenance of mechanical utility systems. This position is for the Chilled Water Work Center of the Mechanical Utilities Complex in the Utilities Division of the Facilities & Operations Directorate at the Oak Ridge National Laboratory (ORNL). The Chilled Water Work Center is responsible for supplying chilled, medium-temperature, high-temperature, heating, and hot water for buildings and computing systems all over the ORNL main campus. This position is the resident authority on engineering aspects related to system operations and maintenance, provides technical input to support troubleshooting and maintenance, and gives guidance and recommendations concerning new projects or system modifications. This position interacts with operations, maintenance, management, customers, and sub-contractors routinely, so good written and oral communication skills are required.

Major Duties/Responsibilities:

Provide support in establishing the necessary requirements for directing maintenance, modifications, or utility outage activities to preserve safety and environmental controls, and to minimize interruptions or negative impact on customers.
Promote frequent communication with customers, craft workers, and other utility staff members.
Support predictive/preventive maintenance programs.
Integrate worker safety and health and environmental protection into work planning and execution.
Support configuration control management to ensure that systems and associated equipment are operated and maintained effectively and efficiently.
Obtain proper authorization for work performed in or on mechanical utilities facilities and systems by others such as construction and service subcontractors.
Develop energy conservation strategies and other performance improvements to reduce costs for utilities and other facility services.
Support the maintenance of record drawings, project documentation, and regulatory records.
Provide engineering overview of all mechanical utilities complex projects.
Assist in the development and implementation of the utilities training program.
Perform other roles, as directed by the Chilled Water Work Center Manager.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS degree in Mechanical Engineering or other relevant engineering degree from an accredited college or university.
A minimum of five years of mechanical engineering experience in operations and maintenance of chillers, cooling towers, or other facility cooling systems.

Preferred Qualifications:

Professional Engineer (PE) licensure.
Must demonstrate a strong dedication to customer service.
Must have strong computer skills and good written and verbal communication skills.
Experience with control systems and SCADA systems (such as Metasys) is very desirable.
Experience working in a DOE facility, with union craft employees, and/or in a 24/7 operating facility is a plus.

Special Requirements:

Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate, Emerging Architectures and Performance for Advanced Computing (Oak Ridge, TN, US, 37830)

Requisition Id 16337

Overview:

Interested in taking your scientific computing skills to the next level? We are seeking a research scientist to work in a world-class research group focused on emerging architectures and performance for advanced computing. This position resides in the Architectures and Performance Group (APG) in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL).

The APG designs and prototypes the scientific computing systems of tomorrow. The APG works closely with domain scientists to solve key computational challenges aligned with the U.S. Department of Energy (DOE) scientific mission. We conduct research in emerging computing paradigms such as neuromorphic, analog, and quantum computing. We collaborate with other groups across ORNL, as well as with other national laboratories, academia, and industry, to investigate the fast-moving and dynamic computing landscape.

Major Duties/Responsibilities:

Work with project teams to create, evaluate, and publish novel research ideas, mentor students, and collaborate with partners and sponsors. Research activities include, but are not limited to:
- Rapid prototyping and evaluation of experimental systems, including hardware, software, tools, and applications

Apply your proficiency in developing sophisticated software systems, such as operating systems, compilers, adaptive runtime systems, or scalable performance tools
Study the performance, resiliency, power, and efficiency of modern and future high-performance computing systems under various workload characteristics through measurement, modeling, and simulation
Publish papers in high-quality, refereed conferences and journals, such as SC, ASPLOS, ICRC, ISSCC, MICRO, ISCA, HPCA, ICPP, and IEEE TPDS
Actively collaborate with industry, academia, government labs, and application developers across a variety of venues

Additional Responsibilities:

Advance the reputation of ORNL through professional society leadership and involvement, as well as the organization of technical events
Support group members by reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards
Assist ORNL principal investigators in writing proposals for new projects
Adhere to requirements for protecting proprietary or sensitive information and follow ORNL cybersecurity policies and guidelines

Basic Qualifications:

Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application
Strong record of impactful research aligned with one or more of the group’s focus areas
Experience with at least one emerging computing paradigm or technology, such as neuromorphic or analog computing, silicon photonics, cryogenic systems, carbon-nanotube devices, quantum computing, processing-in-memory, CXL, or advanced memory systems
A well-established track record of research relevant to one or more of the group’s areas of expertise

Preferred Qualifications:

Strong programming skills in languages such as C++, Python, and preferably Julia
Proficiency in hardware design using Verilog and high-level synthesis (HLS) for ASIC and FPGA platforms
Demonstrated excellence in scientific writing and publication
Strong interpersonal, oral, and written communication skills, with a high level of initiative and self-motivation
Ability to thrive and grow within a dynamic, interdisciplinary research environment
Established expertise and engagement with one or more relevant stakeholders or user communities aligned with the group’s research areas

Special Requirements:

Please submit three letters of reference when applying for this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov.

Instructions to upload documents to your candidate profile:

Log in to your account at jobs.ornl.gov
View Profile
Under the My Documents section, select ‘Add a Document’

Security Requirements:

For employment at ORNL, a Real ID-compliant form of identification will be required. Additionally, ORNL is subject to DOE access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and DOE Order 473.1A, which requires a favorable post-employment background investigation.

For foreign national candidates:

If you have not resided in the United States for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Beam Instrumentation Systems Lead (Oak Ridge, TN, US, 37830)

Requisition Id 16335

Overview:

We are seeking a Beam Instrumentation Systems Lead to support the design, development, implementation, and maintenance of beam instrumentation systems for the Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL). This role contributes to improving accelerator performance, reliability, and availability through advanced diagnostic and control system development. This position reports to the Beam Instrumentation Group Leader within the Accelerator Science & Technology Section, Research Accelerator Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).

The Spallation Neutron Source is a world-leading facility and the most powerful pulsed proton accelerator in the world, producing neutron beams for cutting-edge materials science research. ORNL is the U.S. Department of Energy’s largest science and energy laboratory, delivering transformative solutions in energy, science, and national security.

Within SNS, the Beam Instrumentation (BI) Group is responsible for end-to-end beam diagnostic systems used for accelerator tuning, operation, and performance optimization. The group also develops advanced diagnostic technologies for high-power proton and H⁻ accelerators and accumulator rings, while working closely with technical teams across the Research Accelerator Division.

Major Duties/Responsibilities:

Lead BI technicians in maintenance, troubleshooting, repair, testing, and shutdown activities, including preparation for installations and upgrades.
Plan, schedule, and track corrective and preventive maintenance for beam instrumentation systems, including calibration, verification, and failure analysis to improve reliability.
Develop and manage work packages and system documentation (schematics, procedures, test results, and operating instructions) in compliance with work control and record-keeping requirements.
Collaborate with engineers, scientists, and other departments to manufacture assemblies, resolve design deficiencies, and implement system upgrades and new installations.
Provide operational support for accelerator systems, including occasional off-hours and weekend coverage for 24/7 operations.
Perform supervisory duties as needed, including task assignment, work definition, and oversight, while ensuring compliance with safety (ESH&Q) standards and professional ethics.

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS degree in electrical engineering technology or a related field, with at least 5 years of relevant professional experience.
Proficiency with electronic test equipment (e.g., multimeters, oscilloscopes, function generators) and experience in fabrication and assembly using hand and power tools.
Ability to read and interpret schematics, technical drawings, test procedures, and manufacturer datasheets.
Experience working in environments involving radiation, cryogenic systems, and electrically controlled equipment.
Experience working independently and collaboratively within a team.
Experience using AutoCAD for technical drawings.

Preferred Qualifications:

Working knowledge of National Instruments systems, LabVIEW programming, motion control systems, and instrumentation calibration.
Familiarity with instrumentation and motion control system components.
Prior work in a neutron user facility, synchrotron light source, or other large-scale scientific user facility preferred.
Background in installation and maintenance of vacuum systems.
Ability to produce mechanical and instrumentation fabrication drawings using CAD tools.
Ability to design, layout, and specify printed circuit boards for beam instrumentation system procurement.
Experience with RF systems and competent in usage of RF measurement equipment and techniques for RF signal testing, Spectrum Analyzer, Time Domain Reflectometer (TDR), Network Analyzer, RF Signal Generator, Power Meter, Sweep Generators.

Visa sponsorship is not available for this position.

Benefits at ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Group Leader, Nondestructive Measurement Science and Technology Group (Oak Ridge, TN, US, 37830)

Requisition Id 16332

Overview:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, Oak Ridge National Laboratory (ORNL) has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 7,000 people!

The Safeguards & Treaty Verification Section within the Nuclear Nonproliferation Division seeks applications for a Senior R&D Staff Group Leader (GL) to lead a research group focusing on enhancing concepts, strategies, and nondestructive technologies that will strengthen the capabilities of USG and international regimes (e.g., the IAEA and partner countries) in efforts to safeguard and secure global nuclear material.

The Nondestructive Measurement Science and Technology Group focuses on research, development, and application of nondestructive assay systems, data acquisition technologies, and analysis methods that support international safeguards, domestic material control and accounting, operational safety for material processing, waste measurement, and nuclear material security protocols. The GL provides scientific leadership to the team thereby strategically advancing science and technology in the national security domain consistent with ORNL’s aspiration to be the world’s premier R&D institution.

Major Duties/Responsibilities:

Initiate, lead, and perform independent and impactful R&D on an ongoing basis as evidenced by innovative S&T delivered to sponsors, successful proposals, S&T presentations, professional community engagement, inventions/patents/copyrights, publications as appropriate, etc.
Develop a vision and implement a cohesive group research strategy to ensure the success of new and ongoing research projects to position the group for future success.
Provide relevant input to assist the R&D Section Head with staff development while providing direct and impactful mentorship to staff on regular basis.
Establish collaborations, engage in Professional Societies, and organize technical events.
Exemplify a dedication to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL.
Lead ESH&Q by example and ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Hold regular scientific/technical group meetings and be visible in the labs and workplace.
Assume front-line responsibility for safety in the NMST Group’s laboratory; mentor and empower the Laboratory Space Managers to build a strong safety culture.
Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Address performance issues in a timely manner.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A Ph.D. in engineering, physics, or related field and six (6) years’ relevant experience. An equivalent combination of education and experience may be considered.
Successful record of writing proposals to government agencies in the area of national security.
Experience contributing to and leading national security projects and R&D teams as principal investigator.
Demonstrated record of excellence, as evident by publication list.
Experience presenting scientific results to sponsors and technical communities, as well as at professional society conferences and workshops.

Preferred Qualifications:

Demonstrated record of supporting the professional development of research staff, growing a world-class research program, initiating new research directions and strong team building capability.
Excellent interpersonal skills, outstanding written and oral communication skills, and good organizational skills.
Motivated self-starter who can work independently and participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes and adapt to ever-changing needs
Extensive knowledge of practices and technologies associated with nondestructive assay in support of domestic nuclear material control and accounting, international safeguards, and/or arms control treaty verification.
Experience in the fields of nuclear nonproliferation, counterproliferation, or intelligence as it pertains to nuclear fuel cycle.
Research and development leadership in national and/or international engagements that seek to sustain and strengthen the national security community.
Experience working for or collaborating with DOE National Laboratories (or similar R&D organizations).

Special Requirements:

Visa sponsorship is not available for this position.
Q clearance with SCI: This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Distinguished R&D Staff (Oak Ridge, TN, US, 37830)

Requisition Id 16333

Overview:

We invite applications for Distinguished R&D Staff positions within the Geospatial Science and Engineering Division. ORNL is the nation’s geospatial research laboratory. Our scientists and engineers are breaking new ground in geospatial science and technologies, advancing state of the art and scaling science for global impact. From designing advanced sensing platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale applications, geospatial science at ORNL is establishing new horizons for global geospatial intelligence and human security. The Geospatial Science and Engineering Division is part of the National Security Sciences Directorate, where we translate and apply the latest advancements in ORNL and U.S. scientific leadership to support the nation’s national and energy security needs.

Distinguished R&D Staff are nationally and internationally known science leaders who bring multiple decades of research program experience and a strong vision for how their contributions will enable ORNL to drive and support the next decade of science innovations. In the Geospatial Science and Engineering Division, you will conceptualize, capture, and lead large science programs; build research and investment strategies with division and directorate leadership; mentor early- and mid‑career staff toward greater research impact; and help recruit and hire the best applied S&T talent in the nation.

We are specifically recruiting experienced applied S&T leaders aligned with our strategic thrusts, which include the following: Autonomy, GeoAI, Human Security, Geospatial HPC Engineering, Quantum Sensing, and Critical Infrastructure.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80‑year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals. Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is recognized as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

Major Duties & Responsibilities

Science Strategy: Develop and execute science strategies for division, directorate, and laboratory priorities, working across organizations to integrate and represent capabilities and expertise that differentiate ORNL.
Research Leadership: Maintain visible thought leadership and national/international recognition within your community by developing and leading R&D programs at the lab, delivering science artifacts (data, code, systems, publications), and representing the lab through presentations at community forums and professional society meetings.
Sponsor Engagement & Proposal Development: Work with sponsors to define and understand strategic technical or mission capability gaps, and develop proposals to address these gaps. Continually engage with ORNL’s core sponsors and cultivate new sponsors by identifying dual‑use or translational science opportunities based on existing capabilities.
Program Management: Ensure successful execution of ORNL programs through technical and programmatic leadership and oversight. Maintain strong multidisciplinary teams through clear goals and objectives, and maintain strong sponsor relationships through consistent, on‑time, and on‑budget capability deliveries.
Mentoring: Continuously develop talent to grow world‑class, internationally recognized scientists and engineers within the lab.

All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science, Electrical or Mechanical Engineering, Physics, or a closely related discipline.
Minimum 12 years of experience with a doctoral degree, or 16 years of experience with a master’s degree.
Proven track record of leadership, including building and managing multidisciplinary teams, developing strategy, hiring, mentoring, and managing scientists, engineers, and technologists.
Demonstrated technical expertise across relevant disciplines, evidenced through peer‑reviewed publications, secured program funding, and/or substantial experience leading technical research, engineering, or product teams to deliver industry solutions.
Experience engaging with federal sponsors or large external stakeholders, successfully managing programs, and interfacing at senior levels.

Preferred Qualifications:

Experience working for or with Department of War or Intelligence Community agencies.
Demonstrated ability to operate effectively in ambiguous or evolving environments, independently clarifying objectives, identifying priorities, and driving work forward without requiring fully defined requirements or step‑by‑step guidance.
Comfort working across the full spectrum of day‑to‑day responsibilities, from shaping strategy and defining direction to making hands‑on technical contributions and addressing operational details needed to move work forward.
Strong communication and collaboration skills, with the ability to articulate vision and technical concepts to senior leadership, sponsors, and non‑technical stakeholders.
Motivated self‑starter with the ability to work independently and participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast‑paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs.

Special Requirements:

This position requires the ability to obtain and maintain a Department of Energy Q clearance as well as Sensitive Compartmented Information (SCI) accesses. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Radiochemist (Oak Ridge, TN, US, 37830)

Requisition Id 16424

Overview:

Oak Ridge National Laboratory (ORNL) is seeking a research and development staff scientist for our world class radiochemistry/radiochemical engineering program. You will support the largest radioisotope production and research portfolio within the Department of Energy (DOE) Office of Science for Isotope R&D and Production, as well as extensive isotope production programs for the DOE Office of Nuclear Energy and National Nuclear Security Administration. This position will grant you the opportunity to work with rare nuclear materials as part of both established and emerging radioisotope production programs, as well as advance development of novel separations, analytical techniques, and isotope applications.

This position resides within the Process Coordination Group of the Radioisotope Science and Technology Division (RSTD). The highly accomplished staff within the RSTD use the unique facilities at ORNL, including the High Flux Isotope Reactor (HFIR) and the Radiochemical Engineering Development Center (REDC), to produce a variety of important medical, scientific, and industrial radioisotopes. These include several alpha/beta emitting radioisotopes either deployed or under clinical trial for treatment of cancer (e.g., Ac-225, Ac-227, Ra-224/Pb-212, and W-188); heavy actinides Bk-249, Es-254, and Fm-257 for fundamental chemistry research and new element discovery; Cf-252 for neutron emitting applications; Pu-238 for space exploration; and Ni-63 and Pm-147 for industrial applications.

Major Duties and Responsibilities:

Conduct applied research and development activities with the aim to increase efficiency of production of current isotope products, enable new radioisotope availability, and develop news way of managing radioisotope production bi-products. This position primarily supports existing DOE Office of Science for Isotope R&D and Production programs, while also including the opportunity to submit proposals for competitively funded research.
Train to serve as a subject matter expert for all aspects of the Cf-252 production program chemical processing flowsheet.
Develop processing work plans for the separation, purification, and preparation of radioisotope products.
Interact effectively with technical and operations staff to safely execute work within a highly regulated facility.
Provide guidance to chemical processing operations carried out in hot cell facilities.
Conduct hands-on radiochemical processing in a benchtop, fume hood, or glove box environment.
Provide imaginative, thorough solutions to a wide range of complex, ambiguous, and/or difficult problems.
Present results at conferences and publish results in peer reviewed journals and internal manuscripts.
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity

Basic Qualifications:

PhD in chemistry, chemical engineering, nuclear engineering, or a related field, and five years of relevant experience.
Demonstrated work experience with radiological and/or accountable nuclear materials, including appropriate radiological and nuclear material handling work controls.
Excellent communication skills, including verbal, presentation, and writing skills, as well as the ability to work within a rapidly-changing multidisciplinary environment
Demonstrated expertise in at least one of the following technical areas:
- Metal extraction capabilities using liquid-liquid and solid-liquid separation systems
- Solid state characterization of actinide materials
- F-element chemistry
- Automated chemistry separations
- High Pressure Ion Chromatography
- Radioactive gas trapping and recovery

Preferred Qualifications:

Experience with a wide range of analytical techniques.
Experience with a wide range of chemical separations.
Experience writing proposals and soliciting funding for research and development activities.

Special Requirements

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About the Isotope Science and Enrichment Directorate (ISED):
Established in 2020, the Isotope Science and Enrichment Directorate is strengthening Oak Ridge National Laboratory's leadership in isotope production and enrichment technology innovation. ISED is guiding the Lab's pursuit of the fundamental science and technology that broadens the application of isotopes for energy, environmental, medical, and national security purposes. These efforts are made possible through the High Flux Isotope Reactor, the Radiochemical Engineering Development Center, ORNL's other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https://www.ornl.gov/directorate/isotopes for more information about ISED.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

Relocation:
Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.
For more information about our benefits, working here, and living here, visit the “About” tab at https://jobs.ornl.gov.

#LC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Computational Fluid Dynamics Modeler (Oak Ridge, TN, US, 37830)

Requisition Id 16280

Overview:

We are seeking a Computational Fluid Dynamics (CFD) modeler to apply modeling tools to simulate the complex behavior of fluids at all scales to support isotope enrichment. A successful candidate will collaborate with computer scientists and experimental facilities to develop verified models focused on enrichment technologies. This position resides in the Gas Testing & Simulation Group in the Centrifuge Science Section, Enrichment Science and Engineering Division, Isotope Science and Enrichment Directorate, at Oak Ridge National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, simulate, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization of enrichment systems. As part of our team, you will provide research and development (R&D) support to strategically advance science and technology of prototype enrichment devices for processing both uranium-bearing and stable isotope process gases.

The Oak Ridge National Laboratory (ORNL) is one of the nation’s largest multi-program science and technology laboratories within the U.S. Department of Energy (DOE). The Enrichment Science and Engineering Division (ESED) at ORNL is tasked with advancing enrichment technologies and exploring stable isotope production and application. The division leverages an elite staff of scientists and engineers with the world-leading capabilities of ORNL to deliver groundbreaking advancements with a variety of applications, from national security to life-saving medical treatments.

Major Duties/Responsibilities:

Apply initial modeling efforts as they pertain to enrichment technologies.
Work closely with testing staff & project management to develop targeted model applications
Plan and execute modeling studies.
Produce and present thorough, scientific reports describing methods, materials, and conclusions based on modeling analyses.
Develop and write proposals for innovative research and funding.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.

Basic Qualifications:

BS degree in engineering, physics, computer science, or closely related field.
4-8 years of demonstrated experience in applications of computational fluid dynamic models for decision making,

Excellent written and oral communication skills.
Demonstrated experience working in cross-disciplined teams.
The ability to clearly communicate, both verbally and in writing, to sponsoring agencies, other engineers and researchers, technicians, and craftsmen.

The ability to work flexible hours and travel when required.
Candidate must be able to obtain and maintain a DOE Q clearance which requires US Citizenship.

Preferred Qualifications:

MS degree in engineering, physics, computer science, or closely related field
Strong computational skills with modeling and simulation experience using High Performance Computing environments and experience with Linux environments
Experience with MATLAB, Python, or related development packages for processing of model results
Familiarity with Finite Element Methods.

Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.

Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.
Active DOE Q Clearance

Special Requirements:

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Group Leader - Superconducting Linac (SCL) Systems (Oak Ridge, TN, US, 37830)

Requisition Id 16282

Overview:

We are seeking a Superconducting Linac (SCL) Systems Group Leader for the Accelerator Systems Section in the Research Accelerator Division (RAD) at Oak Ridge National Lab. The Research Accelerator Division’s mission is to safely and reliably operate the Spallation Neutron Source (SNS) Accelerator and to execute impactful Accelerator R&D focused on SNS improvements and strategic opportunities, all in support of delivering neutrons for impactful scientific discovery.

The SNS linear accelerator (Linac) consists of a combination of room temperature and superconducting structures and is the first accelerator that uses superconducting radio-frequency (SRF) technology for a pulsed proton machine. The SNS Linac produces 1.3-GeV, 2-MW negative hydrogen beam (1.3 GeV, 2.8 MW capable after the Proton Power Upgrade) and is now considered to be the world’s leading high-power proton accelerator facility.

The SCL Systems Group is responsible for the safe, reliable, and cost-effective operation, maintenance, system engineering, and continuous improvement of cryomodules and cryogenic systems supporting the SNS superconducting linear accelerator, including the Central Helium Liquefier (CHL) and cryogenic distribution systems. The group also leads the design, construction, commissioning, and operation of SRF and cryogenic test facilities, supports the Cryogenic Moderator System (CMS) for neutron production, and provides cryogenic engineering expertise for existing and future SNS systems, along with focused R&D in SRF and advanced laser technologies.

The Technical Group Leader drives technical excellence and global leadership within the group by developing staff, advancing capabilities, and supporting career growth. Working closely with the Section Head, this role implements the group’s technical vision, addresses complex engineering challenges, and ensures high standards for performance aligned with Environment, Safety, Security, Health, and Quality (ESH&Q) requirements. The role also fosters a diverse and inclusive work environment where employees feel valued, supported, and empowered to contribute at a high level.

Major Duties/Responsibilities:

Lead and manage all activities of the SCL Systems Group, including operations, maintenance, and continuous improvement of cryomodules and cryogenic systems supporting SNS.
Direct and integrate efforts for the operation, maintenance, and enhancement of the Central Helium Liquefier (CHL)and associated cryogenic infrastructure.
Provide cryogenic engineering support for Cryogenic Moderator System (CMS) and other SNS, ORNL, and DOE initiatives
Oversee design, construction, commissioning, operation, maintenance, and upgrades of cryogenic and SRF test facilities (including CTF).
Supervise, mentor, and develop staff to support safe, reliable 24/7 operations and enable technical excellence and career growth.
Lead and manage group R&D programs
Drive continuous improvement by investigating off-normal events, implementing corrective actions, and ensuring system reliability.
Ensure effective planning and execution of budgets, configuration management, maintenance programs, training, staffing, and required technical documentation.
Represent the group to division leadership, DOE, review bodies, and professional organizations, and ensure active participation in management and operations forums.
Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

PhD in a closely related engineering or physical science discipline (e.g., Physics, Mechanical Engineering, Electrical Engineering, or similar fields), with a minimum of 4 years of relevant experience; or an MS in a related field with at least 7 years of relevant experience; or a BS degree in a relevant field of study with at least 8 years relevant experience.
Demonstrated experience leading technical teams.

Preferred Qualifications:

Working knowledge of cryogenics and/or RF engineering.
Familiarity with SRF operation for particle accelerators or similar complex systems.
Experience with large scale cryogenic systems especially 2-K system.

Benefits at ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Group Leader, Secure AI Research (Oak Ridge, TN, US, 37830)

Requisition Id 16283

Overview:

The Cyber Resilience and Intelligence Division (CRID) in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL) is seeking a senior scientist to lead a world-class applied research and development group. The Secure Artificial Intelligence Research (SAIR) Group in the Advanced Intelligent Systems Section is a newly formed group that will include data scientists, Artificial Intelligence experts and practitioners, and software/computer engineers carrying out applied research and development with machine learning systems at scales ranging from edge computing to large computer systems. The group primary mission is security research and development focused on identifying, characterizing, and mitigating vulnerabilities in modern AI systems—including large language models (LLMs), multi-modal generative models, and architectures such as CNNs and Transformers. The group enables mission and product stakeholders to more effectively assess and manage AI risk across the model lifecycle, from data collection and training through deployment and monitoring. Example problem areas include prompt injection and jailbreaks, data poisoning, adversarial examples, model inversion and membership inference, tampering, insecure tool use and agentic workflows, multi-modal attacks (image/audio/text), and unsafe or unreliable generation behaviors.

This group develops and applies state-of-the-art methods in AI red teaming, evaluation and benchmarking, scalable experimentation, automated vulnerability discovery, and defense engineering (e.g., robust training, filtering, access controls, policy enforcement, and secure orchestration). The focus of the group’s projects is to produce feasible, measurable security improvements—ranging from attack/defense prototypes and repeatable test harnesses to deployable mitigations and monitoring capabilities—supporting operational adoption of trustworthy, resilient AI systems.

The group leader will oversee the group’s applied R&D agenda, will recruit and hire new staff that will enable execution of the group mission, will lead the effort to respond to new funding opportunities, and will guide the ongoing growth and development of the research staff that will carry out that R&D agenda.

Major Duties/Responsibilities:

Oversee high quality applied research in various domains related to national security.
Collaborate with application scientists inside and outside of the laboratory to advance the mission of the group, laboratory, and sponsors such as DOD, IC, DHS, DOE, and other agencies that support the national security mission.
Conduct state-of-the-art research as part of the group and publish results in journals, conferences, and technical reports.
Develop new research proposals as a basis of continued support of the national security mission and the overall health of the group.
Manage staff within the group, including the retention of highly qualified staff; the development of staff capabilities; and ensuring that staff members are effectively utilized, rewarded, and motivated.
Mentor less experienced staff in developing ideas and proposals, developing and executing a research plan, and presenting results.
Recruit new researchers into the group from high quality academic institutions and research organizations.
Represent group-level work to review committees and outside bodies as appropriate.
Manage the group budget.
Provide leadership in all areas of ES&H and full implementation of integrated safety management in the group.

Basic Qualifications:

A Ph.D. or Masters in Computer Science, Applied Math, Electrical Engineering, or a related field.
At least 6 years (for Ph.D.) or 12 years (for M.S.) of research and development experience in national security research or a complementary field.
Expertise should complement the purpose and mission of the group as described above, including working knowledge of fundamental machine learning methods.
Experience writing successful R&D proposals, research plans, and engaging government agencies to capture sponsored research programs.
Experience managing medium/large research projects and presenting project results.
Experience managing/mentoring students or researchers and recruiting new staff.
Experience deploying complex software stacks to operational use.
A proven publication record in the field of interest.

Desired Qualifications:

Knowledge and experience with the development and deployment of state-of-the art computational architectures for data management and analysis.
Demonstrated ability to effectively interact with senior levels of client management and others involved in technical endeavors.
A successful record of developing research partnerships and collaborative relationships with universities, industry, and research laboratories.
Excellent interpersonal skills, the ability to work independently, outstanding written and oral communication skills, good organizational skills.

Special Requirement:

This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Nonproliferation and Export Control Professional (Oak Ridge, TN, US, 37830)

Requisition Id 16285

Overview:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an 80-year legacy of supporting the nation’s security and strategic missions. ORNL is home to more than 7,000 dedicated, innovative staff, working in a culture that values diverse perspectives and backgrounds. In addition to cutting edge science, ORNL’s work includes protecting sensitive technologies and ensuring compliance with U.S. laws and international obligations designed to prevent the spread of weapons of mass destruction and their delivery systems.

The Nuclear Nonproliferation Division (NND) at ORNL advances U.S. export control and nonproliferation objectives by providing subject matter expertise that strengthens national security policy, supports regulatory improvements, and enhances compliance and implementation at both localized and federal levels. Within NND, the Nonproliferation Safeguards and Treaty Verification Section provides direct support to the DOE and the National Nuclear Security Administration (NNSA) to help control, detect, and deter the proliferation of nuclear, chemical, biological, and missile (NCBM) technologies. Our nonproliferation work spans the full spectrum of NCBM-related technologies and includes applied analysis and operational support that informs export control implementation, interdiction, compliance, and international engagements. The Section also supports the development of U.S. nonproliferation policy by providing technical analyses and recommendations that help propose, evaluate, and inform updates to relevant policies, guidance, and regulatory frameworks. We are seeking a mid-career nonproliferation technical staff member to join our diverse team and help advance these efforts.

Major Duties/Responsibilities:

Prevent illicit or unintended transfers of WMD-related commodities, software, and technology to destinations and end users of concern.
Evaluate emerging proliferation threats, their magnitude, implications, and the impacts on the United States’ worldwide interests.
Evaluate strategic trade controls and the efficacy of international and domestic export control guidelines for nuclear and dual use equipment, with specific attention to interpretation and applicability of controls, regulations, and guidelines.
Study and implement sophisticated export control approaches and the role of national controls for the protection of commodities and technology subject to strategic trade control.
Identify and deploy methodologies for raising awareness of export compliance responsibilities. Recommend strategies, tools, and resources for complying with US export control laws and regulations.
Identify high risk property, including items that are proliferation-sensitive, export controlled, military/weapons related, or specially designed or prepared for the nuclear fuel cycle. Develop associated control, destruction, or demilitarization plans.
Develop subject matter expertise in the major areas of concentration involving export controlled technologies, high risk property, and foreign interactions.
Design, develop, and implement technology control or protection plans to guard against inadvertent technology transfers and the associated loss of economic or national security.
Represent the DOE/NNSA sponsor in technical cooperation venues involving export control discussions, border security issues, NFC proliferation risks, and nuclear weapons development scenarios.
Assist in the management of nonproliferation programs involving staff from across the DOE complex. Develop proposals, program plans, budget, and scheduling activities. Collaborate with the DOE/NNSA sponsors on a regular basis and ensure the timely completion of quality results.

Develop and implement detailed training curricula, lectures, and compliance assistance programs.
Collaborate with U.S. and foreign scientists, engineers, government officials, and U.S. private industry representatives.
Domestic travel is required (foreign travel is possible), approximately once per month.
All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS/BA degree in engineering, physics, mathematics, chemistry, international studies, or related field and five (5) years of relevant experience.
Experience evaluating technologies and technical details in various types of documentation (such as papers, drawings, blueprints, presentations, etc.).
Strong teamwork skills and dedication, with the ability to shift priorities quickly, work well with diverse backgrounds, and solid communication and speaking skills.

Preferred Qualifications:

A genuine interest in U.S. and international export control regulations, including all United States export agencies (Energy, Commerce, State, Nuclear Regulatory Commission, and Treasury) and international control regimes (Nuclear Suppliers Group, Australia Group, Missile Technology Control Regime, and Wassenaar Arrangement).
Successful candidates will be highly organized and self-motivated, with strong interpersonal skills, effective oral and written communication skills, training development capabilities, and adept at public speaking.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the DOE complex.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes, and adapt to constantly evolving needs.

Special Requirements:

Visa sponsorship is not available for this position.
Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior Radiological Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16397

Overview:

We are seeking a Senior Radiological Engineer who will provide expert level support for the operation of a diverse range of radiological instrumentation to meet needs throughout Oak Ridge National Laboratory (ORNL). Areas of focus include the Radiological Effluent Stack Monitoring program, the Central Radiological Counting Laboratory, the Portable Nondestructive Assay (NDA) program, and the Whole-Body Counting Facility. This position resides within the Nuclear and Radiological Measurements (NRM) team of the Nuclear Measurements and Analytical Services (NMAS) Group of the Nuclear and Radiological Protection Division (NRPD) under the Environmental, Safety, Health, and Quality Directorate at Oak Ridge National Laboratory.

Major Duties/Responsibilities:

Serve as the primary subject matter expert within the NRM Team for the Radiological Effluent Stack Monitoring Program.
Develop and expand the stack monitoring program with the addition of future spectroscopic stack monitoring systems.
Provide technical guidance for the operation of instrumentation within the Central NPRD Radiological Counting Lab, which consists of fixed high purity germanium detectors, alpha spectrometers, gross alpha/beta counters, and a liquid scintillation counter.
Assist in the development of In-situ Object Counting (ISOCS) models to evaluate complex assays and develop defensible estimates of the total measurement uncertainties in support of the NRPD Portable NDA program.
Support the operation of the whole-body counting, lung counting, and wound counting capabilities, facilities, and instrumentation.
Perform technical equipment evaluations and develop technical basis documentation for existing and future technology applications.
Mentor less experienced radiological engineers within the group.
Participate in incident/accident investigations requiring in vivo measurement and wound counting support due to potential intakes of radioactive material.
Troubleshoot equipment and other technical issues as necessary.
Participate in audits, inspections, verifications, and surveillances.
Support other activities in the Nuclear Measurements and Analytical Services Group as needed.
Ensure all work is carried out safely, securely, and in compliance with ORNL’s ESH&Q policies, standards, and procedures.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS Degree in health physics, nuclear engineering, physics, chemistry, or a related technical field.
Eight or more years of professional experience in health physics, nuclear engineering, nondestructive assay, or operational radiation protection.
Extensive knowledge of gamma spectrometry fundamentals – gamma-ray interactions, detection systems, calibration, operation, troubleshooting, maintenance, and gamma-ray spectra interpretation.
Knowledgeable of laboratory quality assurance processes and procedure development.

Preferred Qualifications:

An advanced science or engineering degree in directly related discipline (e.g. health physics, physics, radiochemistry, etc.) will be given appropriate consideration in lieu of experience.
Recent experience with radiological effluent processing and monitoring systems, including a thorough understanding of sampling methodology, fluid flow dynamics, filtration mechanisms, and effluent monitoring regulatory requirements.
Advanced computing skills, including data reduction, analysis, and presentation.
Thorough working knowledge of Mirion Technologies gamma spectrometry software applications including their software development toolkit and ISOCS.
Experience with the development and reporting of total measurement uncertainty as it relates to NDA.
Knowledge of Mirion’s APEX In-vivo software application.
Experience operating and maintaining In-vivo measurement systems.
Well versed in current regulatory and consensus standards for radiation detection.
Working knowledge of the Python programming language.
A history of institutional problem-solving and application of creative solutions to radiation measurement challenges.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Physical Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
Visa Sponsorship: Visa sponsorship is not available for this position.

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Waste Services Representative (WSR) (Oak Ridge, TN, US, 37830)

Requisition Id 16454

Overview:

We are seeking a Waste Services Representative (WSR) who will provide technically defensible waste characterization documentation to support the safe and compliant disposition of wastes generated at ORNL. This position resides in the Customer Interface Section, Transportation and Waste Management Division (TWMD), Environmental, Safety, Health & Quality (ESH&Q) Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Assesses waste management practices to ensure compliance with relevant regulations and internal policies.
Implement processes to improve waste characterization, storage, and disposal.
Develops more complex solutions to address waste management challenges and integrates best practices into daily operations.
Directs individuals to adhere to established waste management protocols and fosters a culture of safety and environmental responsibility.
Assesses waste management systems to ensure alignment with regulatory standards and organizational goals.
Implements processes to regulate the accumulation, segregation, and disposal of waste.
Develop more complex strategies for hazardous and non-hazardous waste minimization and recycling.
Ensures accurate waste documentation in accordance with regulatory requirements.
Reviews new waste management regulations and integrates them into operational procedures.
Confer with internal and external stakeholders to address concerns and improve waste management practices.
Helps establish and implement training programs for staff on waste management protocols.
Coaches team members/customers on best practices for waste management and compliance adherence.
Directs individuals to maintain a safe and compliant environment through ongoing guidance and support.
Work with generators to develop technically sound waste characterization documentation (radiological, chemical, physical, and biological) to ensure full compliance with applicable regulations and ORNL waste management procedures.
Provide expert-level regulatory and technical guidance to waste generators on selecting compliant, acceptable packaging consistent with applicable standards (e.g., DOT) and the waste acceptance criteria of the intended disposal facility.
Provide strategic, expert-level guidance to waste generators to ensure regulatory compliance and to optimize cost-effective disposition pathways for routine and non-routine waste streams.
Employees hired for this position may be required to serve as a member of the ORNL HazMat and Spill Response Team, consistent with the employee’s experience, qualifications, and training. This collateral duty requires the willingness to be available during off-duty hours to respond to an emergency.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS degree in science, engineering, or health and safety related field or an equivalent combination of education, training, and experience will be considered.
A minimum of 5 years of experience in waste management, environmental management, construction or other related field.

Preferred Qualifications:

Waste management / characterization experience within the Department of Energy complex.
ORNL experience, including operational experience about typical ORNL waste streams and associated waste management challenges is strongly desired.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Physical Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.
Visa Sponsorship: Visa sponsorship is not available for this position.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior AI Software Engineer (Hybrid Eligible) (Oak Ridge, TN, US, 37830)

Requisition Id 16431

Overview:

We’re hiring a Senior AI Software Engineer who has AI/ML development and deployment skills! The position and its focus are to design, develop and move to production AI/ML tools and analytics that enhance and evolve business operations and scientific decision-making capability and related activities at ORNL. Qualified applicants will have a solid foundation of Generative AI and Machine Learning skills. This position resides in the AI Operations Program office within the Application Development Division of the Information Technology Services Directorate. Our AI/ML models are heavily centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments.

Major Duties/Responsibilities:

Development and support of models utilizing AI/ML and Microsoft Azure, Google Vertex AI, AWS Bedrock.
Collaboration with business and classified business and scientific/technical stakeholders to understand needs and gather detailed actionable requirements at the highest security levels.
Analysis of emerging trends and technologies to provide recommendations for roadmaps and AI strategy. This includes Generative AI and ML techniques and solution methods. LLM/GPT CI/CD pipelines and diagnostic monitoring for clients or set up for client self-monitoring.
Ethical and responsible use of AI in line with ORNL policy and guidelines.
Collaboration with other DOE labs and private sector companies to understand and mature ORNL capabilities.
Help us become the Go-To DOE lab for AI/ML best practices across lab domains.
Adherence to ORNL and ITSD software quality assurance standards and ITIL effective practices.
Support of and adherence to ORNL and ITSD project management requirements and Guidance for Researchers and general users of AI models within ORNL guidelines.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

2-3 years of recent AI experience including: agentic work experience, workflows, and development of agent fleets to accomplish specific tasks
A BS in computer science, data science, artificial intelligence or a related field and a minimum of 8 years total relevant AI/ML experience.
- An overall combination of equivalent experience may be considered.
Experience developing and deploying AI/ML solutions in cloud and/or on-prem including classified and secure environments, including gathering requirements, designing solutions, and delivering results
Familiarity with modern AI/ML tools and platforms such as:
- Azure AI services (e.g., Azure OpenAI, Azure SQL) or similar cloud tools
- OpenAI APIs, Microsoft Azure AI Foundry, Google Vertex AI and AWS Bedrock, Hugging Face, LangChain, GitHub, GitLab or other LLM frameworks
Experience working with data models, reporting solutions, or analytics environments

Preferred Qualifications:

Advanced degree in a related field:
- Master’s degree with ~7–10 years of experience

Active DOE Q clearance, DoD TS with SCI and Poly
Understanding of multidimensional and tabular modelling, vector databases, Graph DB.
Experience using Microsoft Visual Studio or Visual Studio Code, Python, PyTorch, TensorFlow.
Two to three years of experience leading group projects and programs with current AI/ML, Data Science or Data Analytic tools including using and teaching low code-no code skills to others.
Knowledge of current ORNL business processes and applications (or similar) is a bonus.
Knowledge of Microsoft SharePoint technologies is a bonus.
A curious, problem-solving mindset with the ability to learn and adapt in a fast-moving space
Comfortable working independently and as part of a project-based team
Strong communication skills and a focus on delivering value to customers and end users

Special Requirements:

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Hybrid Eligibility:

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Group Leader, Functional Hybrid Nanomaterials (Oak Ridge, TN, US, 37830)

Requisition Id 16329

Overview:

We are seeking an R&D Group Leader for the Functional Hybrid Nanomaterials (FHN) Group within the Nanomaterials Synthesis and Nanofabrication Section at the Center for Nanophase Materials Sciences (CNMS). The CNMS provides the national and international user communities access to expertise and equipment for a broad range of nanoscience research, including nanomaterials synthesis, nanofabrication, imaging/microscopy/characterization, and theory/modeling/simulation. The selected group leader will be part of the Nanomaterials Synthesis and Nanofabrication Section, which develops and applies state-of-the-art synthesis and diagnostics methods to understand growth mechanisms and function of complex materials in support of the CNMS user program and in-house theme science.

As a Senior R&D Staff Member and Group Leader at the CNMS, your work will combine science with leadership. As a Group Leader, you will be instrumental in shaping and implementing division strategies across your group to deliver world-leading science along with a robust and impactful collaborative user program. This will include leading and conducting groundbreaking, scientific research in your own area of expertise as part of the CNMS theme science program as well as through external programs related to material synthesis and nanofabrication, particularly in the areas of understanding material defects and transformations as they relate to microelectronics, quantum materials, quantum information systems, and autonomous synthesis in support of ORNL’s “atoms to applications” strategic initiative.

The FHN group synthesizes and characterizes 2D materials and thin films, as well as hybrid architectures by a variety of techniques. Synthesis and processing methods include pulsed laser deposition (PLD), chemical vapor deposition and transport (CVD, CVT), exfoliation of 2D materials, atmospherically controlled stamping, and other advanced approaches. The group specializes in optical spectroscopy of nanomaterials and methods employing in situ diagnostics of materials' structure and properties during synthesis in response to controlled environments, catalytic reactions, or optical and electrical stimulus. The group is heavily involved in incorporating in situ diagnostics and characterization to enable the development of AI/ML approaches for autonomous synthesis. Signature automated PLD facilities incorporate in situ RHEED, XPS/XPD, Raman spectroscopy, and data acquisition.

The Group Leader provides R&D leadership to the group that strategically advances science and technology consistent with ORNL’s position as a premier R&D institution and ORNL’s science culture. At the CNMS, the group leader will work with staff across the Center to simultaneously cultivate and grow new and ongoing areas of scientific research as well as identify new capabilities that meet the demands of our user community.

The R&D group leader brings together a group of peers with the primary goal of pursuing global scientific leadership in their field, nurtures ORNL’s culture among group members, and continues to build and scale up individual excellence and impact in R&D. The R&D group leader reports to and works closely with the R&D section head and division director to implement the group’s scientific vision; develops group members to enable their career advancement; establishes capabilities that enable programs to excel at the forefront of science and technology; performs R&D to advance the field of knowledge and/or technology in one’s respective specialty; sets, implements, and models standards for performance of work consistent with Environment, Safety, Security, Health, and Quality (ESH&Q) requirements and business rules; and ensures an inclusive work environment where every employee feels safe, heard, and appreciated.

Major Duties/Responsibilities:

Lead and champion internationally renowned, innovative science related to nanomaterial synthesis, in situ diagnostics and development of autonomous synthesis platforms.
Be responsible for initiating, planning and managing group activities related to the execution of the CNMS Theme Science and User Programs.
Plan and lead new major research programs across the division, directorate or lab-wide levels, contributing to and developing new research proposals & new client relationships.
Developing international reputation for knowledge in specialty by establishing a track record of contributing to and leading thrusts across major research projects, pushing the edge of knowledge in your field, and leading through service to major societies and participation in advisory committees.
Work closely with the CNMS Division Director and your Section Head to implement the CNMS strategic plan in pursuit of world-leading science and technology directions for the group.
Build strong teams by collaborating across ORNL and securing external expertise when needed. Leverage ORNL facilities and resources when developing new projects.
Work with your Section Head and CNMS Division Director to assess and calibrate individual staff performance within your group. Evaluate progress regularly, providing feedback and addressing performance issues in a timely manner.
Recruit and hire necessary staff from a diverse pool of top candidates who are committed to world-class research and aspire to be the best in their field. Approve job offers.
Drive staff promotions and development.
Address in a timely manner all concerns expressed by staff and any disciplinary actions.
Lead by example, using the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research and in dealing with others.
Employ best practices, such as holding regular meetings, being visible in the workplace, monitoring budgets, acknowledging sponsors, and adhering to ORNL business systems requirements regarding staff requests for foreign travel and submission of quality proposals.
Coach and mentor staff regarding Battelle’s “Safe Conduct of Research” principles and ensure all work is carried out safely, securely, and in compliance with ORNL policies, standards, and procedures.
Exemplify a commitment to ORNL by modeling lab expectations for excellence in research, operations, and community engagement, and by working cooperatively to leverage capabilities across the lab.
Connect staff to your network. Assist R&D staff in setting long-term career goals. Identify additional mentors as appropriate and engage senior staff to act in this capacity.
Be open and transparent in communicating information to your group and communicate staff achievements and changes to stakeholders in a timely manner.
Work to ensure staff are participating actively in professional service (engagement in scientific societies, workshop and conference organizations, peer review, advisory board membership, etc.).
Advocate for and support internal and external recognition of staff achievements. Ensure the Group’s external professional presence is strong.
Communicate funding/proposal opportunities to staff and support proposal development as appropriate (mentoring, proposal reviews, budget preparation, etc.).
Ensure that staff manage their research projects effectively to deliver results on scope, schedule, and budget while meeting scientific, technical, and business expectations.
Effectively communicate the importance of protecting proprietary or sensitive information and complying with ORNL cybersecurity policies and guidelines.
Recognize and support the contributions and responsibilities of Group Leaders and Laboratory Space Managers to lab safety.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Foster a respectful workplace in how we treat one another, work together, and measure success.

Basic Qualifications:

Requires a Ph.D. in Materials Science, Physics, Chemistry, or a related science field with a minimum of 6 years relevant experience post Ph.D., including demonstrated experience in leading R&D teams

Preferred Qualifications:

Demonstrated expertise in synthesis and diagnostic methods
A demonstrated track record of research excellence in materials science, condensed matter physics, chemistry, or strongly similar areas.
Experience in leading teams of cross-disciplinary researchers to produce important discoveries beyond the reach of individual investigators.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Letters of Recommendation:

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to psdrecruit@ornl.gov.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior Technician (Casual) (Knoxville, TN, US, 37932)

Requisition Id 16451

Overview:

We are seeking a Senior Technical Professional – Building Envelope Research to focus on sensors and instrumentation, data acquisition systems, process control, and real-time data monitoring system design and implementation for building envelope prototypes in both laboratory and field evaluations. This position resides in the Building Envelope Materials Research (BEMR) group within the Building Materials, Systems, and Integration Section, Buildings and Transportation Science Division, Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Design experiments; select sensors and their layout; and specify data acquisition (DAQ) hardware to evaluate the thermal and hygrothermal performance of prototype building envelope components.
Collect and analyze field evaluation data.
Support ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace—in how we treat one another, collaborate, and measure success.

Basic Qualifications:

MS or BS in Electrical Engineering, Mechanical Engineering, or a related field with at least 7 years (MS) of experience or at least 8 years (BS) of experience.
Hands-on experience calibrating and installing sensors such as thermocouples, thermistors, heat flux transducers, flow meters, and other instrumentation used to evaluate the performance of prototype building envelope components and systems.
Proficiency in programming Campbell Scientific data acquisition (DAQ) systems.

Preferred Qualifications:

Experience instrumenting and conducting evaluations of prototype building envelope systems in natural exposure test facilities.
Excellent written and verbal communication skills.
Proven track record of being a team player.
Motivated self-starter with the ability to work independently and contribute creatively within collaborative, cross-disciplinary teams.
Ability to thrive in a fast-paced research environment, prioritize multiple tasks, meet deadlines, and adapt to evolving needs.

Special Requirements:

This is a casual part-time position.
Visa sponsorship is not available for this position.
Relocation Assistance is not available for this position.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Business Relationship Manager (Hybrid) (Oak Ridge, TN, US, 37830)

Requisition Id 16358

Overview:

We’re hiring a Business Relationship Manager who will serve as a strategic partner to ORNL’s research directorates! This position is in the Research Computing division, in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL).

Research Computing's mission is to provide embedded IT Support to enable and advance ORNL research through delivery of innovative, cost-effective technology solutions, providing an efficient IT user experience, while continuously improving performance, reducing complexity and risk.

You will work closely with the research directorate to understand their needs, challenges and help provide a productive, efficient relationship between the directorate and IT Services within ORNL. You will gather new requests and work with research programs in translating programmatic deliverables to baseline IT scope and architecture requirements.

Major Duties/Responsibilities:

Partnership Engagement:

Manage a diverse portfolio of technical customer engagements, including High Performance Computing, Cloud Computing, DevOps practices and Software Development.
Collaborate with experts to anticipate and plan for emerging IT services, while effectively establishing and presenting internal and external customer priorities.
Partner with ITSD technical teams as an internal advocate and representative for research partners during final design and scoping activities.
Lead on customer problems and issues.

Communication:

Apply technical expertise to communicate effectively with both technical and non-technical teams, driving engagement, and facilitating project intake.
Inform customers of ITSD priorities, resources, portfolios, roadmaps, initiatives, and potential project/program impacts.
Proactively connect with customers via dashboards, metrics, and scheduled reports to inform of service health and status of engagement of ITSD to Research.
Report status, issues, requests, upcoming releases, etc, to ITSD Leadership.
Represent ORNL and DOE to the broader research community through partnerships, solutions, and collaborations.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5 years professional experience is required for consideration. An overall combination of equivalent education and experience may be considered.
Experience leading technical initiatives, products, services, or interactions.
Experience building and maintaining customer relationships.
Proven track record of resolving disagreements.
Experience providing or supporting a broad range of IT services relevant to supporting research IT.

Preferred Qualifications:

An ability to effectively articulate, through written word and oral presentation, a command of IT solutions to staff, senior executives, external regulators, DOE officials, and external customers.
Ability to balance customer needs with the overall strategic vision.
Proven performance in delivering research support across all levels of FISMA data sensitivity.
Ability to communicate recommendations and influence decisions based on data and mission.
Ability to track and deliver on a wide variety of customer needs, both technical and non-technical.
Eagerness to learn new technology and the ability to translate that into relevant ideas for research delivery.
Knowledge of cyber security principles required to protect the interests of ORNL and DOE.
Understanding of support across DOE spaces.
Current Top-Secret clearance with Q and SCI Access.
Experience with systems and enterprise architecture.
Excellent interpersonal, oral, and written communication skills and strong personal motivation.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Q or L Clearance: This position requires the ability to obtain and maintain clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.
Visa sponsorship: Visa sponsorship is not available for this position.

Hybrid Eligibility:

This position is in Oak Ridge, Tennessee and requires onsite presence. We offer a flexible work environment that supports both the organization and our employees. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Research Scientist, Large-Scale Data Science and Learning (Oak Ridge, TN, US, 37830)

Requisition Id 16411

Overview:

The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier of AI for science, including scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers.

You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate discovery across domains (materials, chemistry, climate, fusion, biology, and more).

NCCS operates the Frontier exascale supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and translate methods into scientific impact.

Examples of Focus Areas:

Agentic AI for Science: Autonomous and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration.
Scientific Reasoning: Program/path-of-thought, tool-augmented and retrieval-augmented reasoning; uncertainty quantification and calibrated decisions.
RL & Self-Improving Models: RLHF/RLAIF, online RL, self-play, open-ended discovery, reward modeling, curriculum/active learning, data selection, iterative post-training, safety alignment and guardrails.
Foundation Models for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents.
Federated & Collaborative Learning: Cross-silo training across institutions and facilities; privacy-preserving learning (secure aggregation, differential privacy, MPC/HE); personalization under heterogeneity; governance-aware data/model sharing; collaborative evaluation.

Major Duties and Responsibilities:

Conduct research in AI/ML at scale, working with cutting-edge HPC resources.
Collaborate with senior researchers and domain scientists on AI methods and scientific applications.
Contribute to peer-reviewed publications, technical reports, and proposals.
Engage in collaborative software development and open-source contributions.
Present research outcomes at conferences, workshops, and internal seminars.
Contribute to a supportive, inclusive, and collaborative team culture.

Basic Qualifications:

Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
Demonstrated research in one or more areas of HPC or AI (e.g., large-scale training, scientific reasoning, reinforcement learning, or distributed systems).
Strong programming skills (Python, C/C++, or equivalent) and experience with ML frameworks (e.g., PyTorch).

Preferred Qualifications:

Experience with large-scale experiments on HPC or cloud platforms.
Strong publication record commensurate with career stage.
Familiarity with distributed training frameworks (e.g., DeepSpeed, Megatron-LM, Ray).
Demonstrated ability to work collaboratively in multidisciplinary research teams.
Interest in developing open-source tools and contributing to community efforts.

Special Requirements:

Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

HG GEOINT Mission Technical Lead (Oak Ridge, TN, US, 37830)

Requisition Id 16449

Overview:

The Human Geography (HG) Group, within the Geospatial Science and Human Security Division (GSHS), is seeking a Human Geography GEOINT Technical Lead to support the technical integration, operational coordination, and mission application of Human Geography capabilities. The HG portfolio—including LandScan, Population Density Tables (PDT), UrbanPop, and rapid population updates—supports operational GEOINT activities related to national security, consequence assessment, emergency response, operational planning, and population exposure analysis.

This role is intended for an individual with a strong GEOINT background and an understanding of how Human Geography data and population intelligence support Department of Defense (DoD), Intelligence Community (IC), and federal mission environments. A key aspect of the position is helping bridge the gap between DOE-based scientific research and operational GEOINT mission applications by ensuring Human Geography projects are technically supported, operationally informed, and aligned with mission-relevant needs.

In this role, you will work closely with Human Geography researchers while collaborating with interdisciplinary teams across the Division—including geospatial scientists, software engineers, AI/ML researchers, remote sensing specialists, and data scientists—to help coordinate technical support and workflows that enable both scientific advancement and operational impact. This position will help ensure Human Geography projects are supported through scalable workflows, interdisciplinary coordination, technical integration, and mission-aware GEOINT expertise.

This role enables Human Geography researchers to remain focused on scientific innovation while helping ensure research capabilities can transition effectively into operational GEOINT environments and mission-relevant applications.

Success in this role is demonstrated by the consistent, predictable delivery of Human Geography capabilities as mission-ready systems that meet sponsor expectations and operational timelines. Core products—such as LandScan Global, Mosaic, rapid population updates, and PDT—are produced with clear cadence, minimal disruption, and high confidence in quality and usability. Automated, end-to-end workflows operate seamlessly, with early visibility into risks and bottlenecks, enabling timely responses to emerging events without over-reliance on ad hoc intervention. Strong engagement with the GEOINT user community and sponsors ensures requirements are well understood, translated into actionable priorities, and delivered in a manner that builds sustained trust in both the data and the organization.

Equally important, success is reflected in the ability to scale and evolve these capabilities by leveraging expertise across the Geospatial Science and Human Security Division. Population modeling efforts are integrated across disciplines, and automation—particularly through AI-enabled and agentic workflows—is advanced beyond the Human Geography Group to create shared efficiencies and enhance overall mission impact. The result is a resilient, scalable operational environment where high-resolution population intelligence can be delivered rapidly, consistently, and at increasing scope, while enabling leadership to focus on strategic direction rather than day-to-day execution challenges.

Major Duties and Responsibilities:

Provide technical support for Human Geography GEOINT projects, including LandScan, Population Density Tables (PDT), UrbanPop, and rapid population update activities
Apply GEOINT mission knowledge to help identify where Human Geography capabilities support Department of Defense (DoD), Intelligence Community (IC), and federal operational needs
Collaborate closely with Human Geography researchers to help align scientific activities with operational GEOINT applications and mission-relevant workflows
Coordinate interdisciplinary technical support across the Division, including collaboration with AI/ML researchers, geospatial scientists, software engineers, remote sensing specialists, and compute infrastructure teams
Support technical workflows involving population modeling, geospatial analytics, data integration, automation, and operational GEOINT production activities
Help identify and resolve technical or workflow challenges impacting Human Geography project execution, operational support, or delivery timelines
Support the development and integration of scalable and automated workflows that improve operational GEOINT delivery and population intelligence capabilities
Assist with workflow coordination, QA/QC activities, technical documentation, and operational readiness supporting Human Geography mission products
Engage with sponsors, mission users, and collaborators to help translate operational needs into technical support activities and project priorities
Help support rapid-response and event-driven Human Geography activities requiring coordinated technical and operational GEOINT support
Collaborate with interdisciplinary teams to help transition scientific advancements into operationally relevant and mission-ready capabilities

Basic Qualifications:

Bachelor’s degree in Geospatial Science, Geography, Geospatial Intelligence, Data Science, Intelligence Studies, or a related field
Minimum of 10+ years of experience in GEOINT, geospatial analysis, human geography, or related operational intelligence environments
Demonstrated experience leading complex, mission-driven operations or programs, including oversight of cross-functional teams and delivery of high-impact capabilities
Proven ability to translate mission requirements into operational and technical execution, including aligning priorities, resources, and deliverables
Experience working within national security, defense, or Intelligence Community (IC) environments, including familiarity with operational workflows and stakeholder engagement
Demonstrated experience establishing and enforcing standards, QA/QC processes, and performance metrics for data or intelligence production
Experience managing or directing end-to-end geospatial or data production workflows, including coordination across multiple teams or organizations
Strong ability to engage with senior leaders, sponsors, and mission users, providing technical guidance and ensuring delivery of mission-relevant capabilities

Preferred Qualifications:

Advanced degree (Master’s or higher) in Geospatial Science, Geography, Data Science, Intelligence Studies, or a related field
Extensive experience in GEOINT operations, including support to targeting, consequence assessment, or operational planning environments
Experience leading large, multidisciplinary teams (military, civilian, and/or contractor personnel) in high-tempo operational settings
Familiarity with population modeling, human geography, or geospatial analytics at scale, including integration of multiple data sources
Experience guiding or overseeing automation and AI/ML-enabled workflows, including application to data discovery, validation, or production systems
Demonstrated experience with policy, doctrine, or standards development within DoD, IC, or federal environments
Active or prior Top Secret/SCI clearance (with polygraph preferred)
Experience coordinating across multiple agencies or Combatant Commands, translating national-level requirements into operational capabilities
Experience developing or overseeing training, certification, or workforce development programs related to geospatial or intelligence production

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

BESSD Operations Process Specialist (Oak Ridge, TN, US, 37830)

Requisition Id 16088

Overview:

We are seeking an Operations Specialist that will be the overall process leader for staff and guests who are joining and leaving the directorate. This position will also lead the management and continuous improvement of a variety of other internal reporting tools and processes that impact staff and guests in the directorate. Primary focus areas may include but are not limited to tools and processes related to office and lab space management/utilization, effective internal communications, safety related tools/reporting, research sample management processes, and tools to enable better project tracking and staffing.

This position will be responsible for evaluating and enhancing workflows, ensuring alignment with organizational objectives, and providing consistent, high-quality experience for staff. The position will partner cross-functionally to identify process gaps and implement needed solutions to effectively and efficiently convey needed information to staff and leaders.

This position resides in the Biological and Environmental System Science Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Own the design and implementation of directorate-level reports and workflows (e.g. local databases, SharePoint, Power BI, automated workflows, etc.) to successfully enable staff engaged in operational processes to perform their supporting actions effectively.
Manage and routinely assess BESSD information security practices for such tools and processes.
Formulate, monitor, and report related metrics for operational efficiency and drive effective operational initiatives, as requested.
Develop and maintain internal policies and processes for visibility into actions involving staff and guests (visitors, collaborators, vendors, educational participants, visiting scientists, etc.) such as joining and leaving the organization.
Serve as the recognized authority on guest access to the directorate including interpreting policy, advising leadership, and establishing directorate-specific procedures where guidance is not defined. Resolve exceptions as needed.
As a process leader for incoming and outgoing staff/guests, this position will also implement many of the workflows developed/maintained and will possess key SAP roles related to non-employee processing.
Develop strong, cooperative relationships with HR staff and ORNL business systems staff to help resolve issues.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BA or BS degree in Business Administration, Human Resource Management, Information Systems, or a related discipline.
A minimum of 2 years of experience in administrative support, personnel, office management, information management, or related areas.
Experience in designing and maintaining SharePoint lists and Power BI reports
Excellent written and oral communication skills.
Outstanding organization skills and strong attention to detail in completing independent tasks
Familiarity with human capital management software such as SAP/Success Factors
Proficient in Microsoft Office applications

Preferred Qualifications:

Skills and/or training in process mapping and process improvement
Strong working knowledge of the ORNL Personnel Access System (PAS), along with general familiarity with ORNL policies and procedures.
Familiarity with Power Automate or similar tools for workflow execution
Motivated self-starter with the ability to work both independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Visa sponsorship is not available for this position.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Classified HPC Systems Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16429

Overview:

We are hiring a HPC Systems Engineer to design, operate and maintain clusters, servers, and workstations supporting services where science happens at ORNL! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL).

The Emerging Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores.

We partner with ORNL research organizations to enable research excellence and delivery. We work with other clustered computing and HPC groups to help research programs identify the best solutions for their needs. When we build our customer's environments, our team collaborates to design, implement, and maintain the systems from inception to retirement.

Major Duties/Responsibilities:

Advocate and promote HPC and clustered computing services to researchers who process large data sets and/or develop code as a part of their project.
Ensure the availability, performance, scalability, and security of production systems.
Leverage automation and monitoring solutions that minimize our day-to-day maintenance and scout opportunities to optimize system management practices or system performance.
Collaborate with technical POCs for the programs that we support to install and help tune the performance of various scientific toolsets.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS degree in computer science, computer engineering, information technology, information systems, science, engineering, business, or a related discipline and a minimum of 5-7 years of aligned professional experience is required for consideration. An overall combination of equivalent education and experience may be considered.
2 or more years with managing UNIX/Linux Systems.
2 or more years of proven experience with configuration management and automation tools such as Git, Ansible, or Puppet.
Moderate proficiency in at least one scripting language such as Bash, Python, or others.
Experience performing advanced troubleshooting and system administration with Linux Servers.

Preferred Qualifications:

Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance is heavily preferred for consideration.
Solid understanding of multiple operating systems and cluster technologies.

Experience performing advanced troubleshooting and system administration with Linux Servers.
A strong desire to innovate and identify new technologies and opportunities and be able to communicate the potential benefits of those choices to others within the team and our research partners.
A collaborative and upbeat approach to thrive on the opportunity to build trust and credibility and ultimately become a trusted advisor to our research teams.

Experience with Rocky/Centos/RHEL, Ubuntu, VMware.
Understanding of HPC platforms to support users with SLURM job submissions and troubleshooting.
Experience building and running containerized applications in an HPC environment.
Experience with multiple deployment mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright).
Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing.
Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network diagnostics.
Experience with Infiniband networks and diagnostics.
Experience with performance and diagnostic tools for benchmarking, analysis and tuning of systems, networking, and storage.
Experience with Grafana, CheckMK, Nagios, Zabbix, SolarWinds, Ganglia, or other network and device monitoring systems.
Previous experience working in a government, scientific or other highly technical environment.
Good documentation skills, including ability to prepare simple documentation web pages.

Special Requirements:

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Survey, Alignment, and Metrology Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16315

Overview:

We are seeking an engineer who will focus on using surveying and engineering analysis skills to plan accurate, high-precision metrology and alignment on a wide variety of mechanical systems in support of the Spallation Neutron Source (SNS) accelerator systems and neutron beam lines. The position will also occasionally support other projects and efforts across the Oak Ridge National Lab complex. This position resides in the Survey, Alignment, and Metrology Group in the Neutron Technologies Engineering Section, Neutron Technologies Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Work with scientists, engineers, and technicians to achieve required alignment and metrology tolerances.
Perform analysis of measurements using coordinate system transformations, least squares, and uncertainty propagation.
Plan and supervise dimensional inspection and feudalization of mechanical components.
Plan and supervise alignment during installation and modification of neutron beam lines and accelerator components.
Design, install, and maintain survey control networks.
Produce accurate and concise technical reports.
Prepare presentations for and respond to recommendations from design reviews and advisory committees.
Participate in R&D and prototyping of proposed experimental equipment.
Accurately and reliably communicate technical status and performance to ORNL management.
Comply with ORNL environment, safety, health, and quality program requirements.
Maintain a strong commitment to the implementation and perpetuation of ORNL values and ethics.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS degree in surveying, engineering, mathematics, physics, or a related field and a minimum of 5 years of related experience

Preferred Qualifications:

Thorough understanding of analytic geometry, uncertainty propagation, and 3D coordinate system transformations
Some experience in a related technician role
Experience with accelerators or neutron instruments
Familiarity with Spatial Analyzer, Verisurf, Geomagic, Cyclone, AutoCAD, and Creo software packages
Understanding of geometric dimensioning and tolerancing (ASME Y14.5)
Programming ability
Experience with laser trackers, coordinate measurement machines, laser scanners, optical tooling, and conventional metrology tools
Experience with precision alignment monitoring systems (e.g., hydrostatic levels, wire-positioning systems, LVDTs)
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs

Special Requirements:

Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
Visa sponsorship is not available for this position.
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.

Benefits at ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Technician - Survey, Alignment, and Metrology (Oak Ridge, TN, US, 37830)

Requisition Id 16298

Overview:

Oak Ridge National Lab is seeking a technician for the Survey, Alignment, and Metrology Group. In this role, you will be responsible for using high-precision instruments to perform accurate, high-precision alignment and metrology on a wide variety of mechanical systems in support of the SNS accelerator systems and neutron beam lines. These can be one-of-a-kind or first-of-a-kind systems and frequently have unique alignment issues, often requiring innovative solutions.

This position resides in the Survey, Alignment, and Metrology group in the Neutron Technologies Engineering Section, Neutron Technologies Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Works with scientists, engineers and other technical staff to determine required alignment and mapping tolerances.
Performs precise and accurate measurements with instruments such as laser trackers, coordinate measuring machines, and PCMM arms.
Maintains instruments and checks calibration.
Uses metrology software to transform coordinate systems and perform geometric best fits.
Produces accurate and concise technical reports.
Accurately and reliably communicates technical status and performance to ORNL management.
Interpret mechanical drawings and check field installations and component dimensions against the drawings.
Complies with ORNL environment, safety, health, and quality program requirements.
Maintains a strong commitment to the implementation and perpetuation of ORNL values and ethics.
Produce written inspection reports.
Build 3D CAD models from field data, such as large-volume laser scans.
Setup, maintain, and document survey control networks.
Provide field high-precision (micron level) alignment of equipment.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

An AS degree in metrology, surveying, engineering, design, or related field and 5 or more years of relevant surveying, metrology, or engineering experience.
An equivalent combination of relevant training and experience may be considered instead of an AS degree.
Understanding of CAD models and engineering drawings.
Demonstrated experience collaborating with cross-functional teams (e.g., scientific specialists, engineers, and technicians) to meet defined project cost and schedule targets.

Preferred Qualifications:

Experience with accelerators or neutron instruments.
Experience with laser trackers, coordinate measuring machines, PCMM arms, laser scanners, optical tooling equipment, calipers, micrometers, and other metrology tools.
Familiarity with Spatial Analyzer, Geomagic, Cyclone, Verisurf, Polyworks or other metrology software.
Understanding of geometric dimensioning and tolerancing.
Experience performing large-volume laser scanning and/or building CAD models from large-volume scan data.
Programming/scripting ability.

Special Requirements:

Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.
Visa sponsorship is not available for this position.

Benefits at ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Radiation Protection Research Scientist (Temporary) (Oak Ridge, TN, US, 37830)

Requisition Id 16258

Overview:

The Environmental Risk and Energy Analysis group within the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL), is seeking a Scientist position in radiation dosimetry research. We seek a colleague with research interests in exploring radiation effects on humans using advanced simulation and computational approaches for radiation dose modeling and assessments. Responsibilities of the position will include advancing the Center for Radiation Protection Knowledge’s (CRPK) existing research capabilities and ongoing programs as well as assisting in developing new research programs in radiation dosimetry.

Environmental Sciences Division is an interdisciplinary research and development organization with over 60 years of achievement in local, regional, national, and international environmental research. Our vision is to expand scientific knowledge and develop innovative strategies and technologies that will strengthen the nation’s leadership in creating solutions to help sustain the Earth’s natural resources. Our scientists conduct research, develop technology, and perform analyses to understand and assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies. The Center for Radiation Protection Knowledge provides technical assistance to U.S. federal agencies involved in development of federal guidance for radiation protection and develops many of the biokinetic and dosimetric models recommended by the International Commission on Radiological Protection (ICRP) and applied by U.S. federal agencies.

Major Duties/Responsibilities:

Interact with a team of scientists and engineers at ORNL in a variety of projects involving internal and external dosimetry and radiation risk analysis.

Computational dosimetry using stylized, voxel and mesh-type anthropomorphic phantoms
Compilation and evaluation of radionuclide decay data and the construction of environmental source terms
Dose reconstruction and radiological assessment based on bioassay, dosimeter measurements or environmental source terms
Dosimetry using spectral analysis and radiation detection instrumentation.
AI applications for radiation protection
Assist and enhance radiation dosimetry research relationships with CRPK sponsors
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

PhD in radiation biology, health physics, nuclear engineering, computational biology, or related areas, with experience in performing radiation dosimetry research
Experience in occupational and environmental radiological assessments and dose reconstruction based on bioassay or source terms
Demonstrated ability in the design and execution of complex and computationally intense radiation dosimetry problems including software engineering
Ability to conduct advanced radiation dosimetry modeling on HPC platforms
Demonstrated ability to work independently and collaboratively as part of a multidisciplinary team
Strong record of productive and creative research demonstrated by publication in peer-reviewed journals and presentations at scientific conferences
Excellent interpersonal, oral, and written communication skills

Preferred Qualifications:

Experience in leading radiation dosimetry research
Experience developing retrospective organ dose estimates for epidemiological studies
Demonstrated experience in computational dosimetry using stylized, voxel and mesh-type anthropomorphic phantoms
Experience in radiation protection guideline development

This is a temporary 24-month position. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

For foreign national candidates:

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Principal Engineer for Geospatial Computing Infrastructure (Oak Ridge, TN, US, 37830)

Requisition Id 15574

Overview:

We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data & Computing Center to support ORNL’s geospatial high-performance computing (HPC) research portfolio within the Geospatial Science and Human Security Division. ORNL is the nation’s geospatial research laboratory. Our scientists and engineers are breaking new ground in geospatial science and technologies, advancing the state-of-the-art and scaling science for global impacts. From designing advanced sensing platforms and autonomous systems, to characterizing global population risk with increasing spatiotemporal clarity, to designing GeoAI models for supercomputer-scale applications, geospatial science at ORNL is establishing new horizons for global geospatial intelligence and human security. The Geospatial Science and Human Security Division is part of the National Security Sciences Directorate, where we translate and apply the latest advancements in ORNL and US scientific leadership to support the nation’s national and energy security needs.

Over the past decade ORNL has earned a strong reputation for delivering novel geospatial capabilities grounded in HPC, and this new role offers the opportunity to transform the foundations of these capabilities into a distinct center with its own mission of delivering leading-edge geospatial compute and data services, driving innovation at the intersection of computing and geospatial science, and advancing research outcomes across sponsors, disciplines and institutional partners. The successful candidate will have the strategic mindset, technical breadth, and leadership skills to stand up a mission-driven organization, guide its evolution, manage its operations, and cultivate a world-class team. This role is both operational (managing and optimizing assets and services today) and visionary in charting the future of geospatial compute, orchestrating large-scale investments and partnerships, and positioning ORNL as the national leader in geospatial HPC, data infrastructure, and emerging computing paradigms (edge compute, neuromorphic, quantum).

In this capacity you will be responsible for the formation of a Geospatial Data Center (GDC) built initially from current assets, then grown into a clearly demarcated resource with a growing team to support the work. Your responsibilities will include helping to define the strategic direction and the business model (service delivery + research + partnerships), establishing operating practices, building the team, and engaging sponsors and users. You will be the face of the center internally and externally, aligning with ORNL and National Security Sciences leadership and programs, and ensuring that the center becomes a trusted advisor, partner, and innovation hub in the geospatial and HPC community.

Major Duties & Responsibilities:

The responsibilities of the Principal Engineer for Geospatial Computing Infrastructure will include, but are not limited to:

Strategy & Vision: Develop and refine a strategic roadmap for the GDC, including defining its mission, vision, value proposition, operating model (services, research, partnerships), business case, metrics of success and growth path.
Asset & Infrastructure Management: Oversee the effective integration, operation, scaling and optimization of the GDC’s compute, storage, networking and geospatial-data assets (existing and planned). Ensure high performance, high availability, cost-effectiveness, data integrity, and operational resilience.
Service Delivery & Operations: Define, implement and continually improve service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs, user workflows, resource allocation models and performance metrics.
Research & Innovation Leadership: Cultivate and lead a research-oriented culture within the center: identify and integrate emerging geospatial/HPC technologies (e.g., ML Ops for geospatial data, real-time analytics, cloud/HPC hybrid, edge geospatial compute, neuromorphic, quantum), pilot new capabilities, foster innovation partnerships (academia, industry, federal sponsors). Serve as principal investigator (PI) or co-PI on research proposals, secure external funding, and help shape the center’s research agenda.
Team Building & Staffing: Hire, develop, and lead a highly agile and high-performing multidisciplinary team covering, HPC/data infrastructure, data engineering, software engineering, user engagement, and operations. Foster a culture of excellence, collaboration, inclusion and continuous learning.
Stakeholder Engagement & Partnerships: Serve as the external interface for the center: liaise with sponsors (DOE, other federal agencies, industry, academia), build and maintain relationships, understand user needs, market the center’s capabilities, co-develop new programs. Internally align with ORNL leadership, HPC facility management, ORNL’s National Center for Computational Sciences, data services groups, programmatic divisions and labs.
Budgeting, Resource & Governance: Develop and manage budgets, resource planning (people, infrastructure, capital investments), cost model, vendor and subcontractor relationships. Define governance structures, policies (data governance, security, access), compliance (cybersecurity, data privacy, export controls).
Performance Monitoring & Reporting: Define performance metrics and dashboards for the center (e.g., utilization, throughput, time-to-science, user satisfaction, cost per unit, growth of services), regularly report to ORNL leadership, sponsors and stakeholders. Drive continuous improvement and benchmarking against peer organizations.
Operational Excellence & Risk Management: Ensure robustness of operations (backup/archival, disaster recovery, continuity), manage risk (data loss, data protection, downtime), oversee infrastructure lifecycle (refresh, decommissioning), and uphold industry best practices in HPC/data center operations.

Basic Qualifications:

Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science (GIS/remote sensing), Electrical/Computer Engineering, or a closely related discipline.
Minimum of 10–12 years of relevant experience (or equivalent) in one or more of the following: geospatial science/engineering, HPC/data center operations, large-scale data infrastructure, research center leadership, service delivery in a technical organization, or related field.
Proven track record of leadership: building and managing multidisciplinary teams, developing strategy, hiring, mentoring, and managing scientists/engineers/technologists.
Solid technical expertise across high performance computing (compute, storage, interconnects, networking), large-scale data management (ingest, curation, archive), geospatial data workflows (remote sensing, GIS, mapping, analytics) and infrastructure-as-a-service models.
Experience with service delivery models (e.g., user support, resource allocation, service catalogue, SLAs) and/or research infrastructure.
Experience engaging with federal sponsors (e.g., DOE, DoD, other agencies) or large external stakeholders; demonstrated ability to produce proposals, manage programs, and interface at senior levels.
Strong communication and collaboration skills: able to articulate vision and technical concepts to senior leadership, sponsors, non-technical stakeholders, and users; comfortable representing the center externally.
Demonstrated financial/acquisition/contract experience: budget planning, vendor/subcontractor management, procurement, cost-modelling, and governance oversight.
Demonstrated familiarity with data governance, security, compliance (cybersecurity, export controls, access policies) as applies to HPC/data infrastructure in federal research environments.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Preferred Qualifications:

Experience specifically in geospatial high-performance computing, e.g., leveraging HPC for remote sensing, large-scale mapping, geospatial analytics, Earth system science, real-time geospatial streaming, or associated research infrastructure.
Experience leading or being part of a research center or institute (or similar) with a mix of service delivery and research mission.
Experience with leading edge geospatial/HPC technologies: AI/ML for remote sensing/geospatial, cloud-HPC hybrid architectures, geospatial edge compute, real-time analytics, and geospatial big data platforms.
Demonstrated success securing external funding and managing the resulting programs.
Familiarity with ORNL-style national laboratory environment (or similarly complex research institution), federal research stakeholders, user facilities, and large-scale infrastructure operations.
Established professional network in the geospatial, HPC or data infrastructure community; prior leadership of/participation in geospatial or HPC user communities, etc.
Prior experience with practices of operationalizing research infrastructure: metrics, service catalogue development, business model transition (from support to mission-driven), and growing a team into a standalone organizational entity.
Excellent written and oral communication skills.
All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Special Requirements:

HSPD-12 PIV badge: This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
SCI Clearance: This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.
Visa sponsorship: Visa sponsorship is not available for this position.

Security, Credentialing, and Eligibility Requirements:

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov. ORNL is committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoc- PLD synthesis of thin film heterostructures and twisted oxide quantum materials (Oak Ridge, TN, US, 37830)

Requisition Id 16261

Overview:

We are seeking a Postdoctoral Research Associate who will focus on the physics and materials science of PLD-synthesized twisted oxide and hybrid quantum materials. This position resides in the Neutron & X-Ray Scattering, & Thermophysics group in the Materials Analysis and Interface Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL).

As part of our research team, you will work in a highly collaborative environment with a broad spectrum of expertise, including epitaxial synthesis, twisted membrane fabrication, quantum transport, neutron/x-ray scattering, and spectroscopy. You will perform cutting-edge research on correlated quantum heterostructures, including epitaxial synthesis by pulsed laser deposition, characterization, analyzing data, and writing papers.

Major Duties/Responsibilities:

Conduct epitaxial synthesis of complex-oxide thin films and heterostructures by pulsed laser deposition
Complete twisted heterostructure and device fabrication using free-standing oxide membranes for physical property characterizations
Data analysis of structural, ferroelectric, electric transport, magnetic, and superconducting properties
Work with other atomic characterization expertise for scanning tunneling microscopy and quantum device development
Publish scientific papers in key journals and present at major conferences and meetings

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success

Basic Qualifications:

A Ph.D. in Condensed Mather Physics, Materials Science and Engineering, or a closely related field completed within the last 5 years
A track record in the physics of correlated oxides or 2D materials
Experience in thin film deposition or 2D materials synthesis

Preferred Qualifications:

Extensive experience with twisted materials fabrication and characterization.
Knowledge of correlated-electron physics.
Experience with spin-polarized scanning tunneling microscopy and quantum device development.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Letters of Recommendation:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

Security, Credentialing, and Eligibility Requirements:

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoc - AI/ML and Multiscale Modeling of Materials under Non-Equilibrium Conditions (Oak Ridge, TN, US, 37830)

Requisition Id 16392

Overview:

We are seeking a highly qualified Postdoctoral Research Associate with experience in developing and/or applying AI/ML methods to model, understand, and discover novel phenomena in materials under non-equilibrium conditions relevant to ion beam-driven processes, field-driven dynamics, and materials synthesis and processing. The position resides in the Nanomaterials Theory Institute (NTI) at the Center for Nanophase Materials Sciences (CNMS) Division, Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL) and will be associated with the Multiscale Dynamics (MD) science theme at the CNMS and related activities.

As part of our research team, you will be working with a highly interdisciplinary team of scientists at the CNMS, and across other divisions at ORNL.

Major Duties/Responsibilities:

Work closely with other members of NTI and CNMS to provide theory and simulation support, including large-scale molecular dynamics, for materials under non-equilibrium conditions relevant to ion–matter interactions, dynamic ionic motion in solids under applied fields, and synthesis and processing methods such as plasma etching and focused ion beam exposure.
Develop and apply AI/ML algorithms to enable accelerated discovery of new materials and scientific insights into materials under non-equilibrium and dynamic conditions, leveraging LLM tools when appropriate. This may include the development of machine-learning interatomic potentials (MLIPs), foundational AI models, Bayesian on-the-fly approaches for multi-fidelity simulation and learning, ML methods for beam-induced material modification, synthesis and processing, high-throughput DFT workflows, and interpretable and explainable AI model development.
Support experimental efforts within the Multiscale Dynamics theme, where the focus is largely on materials relevant to next-generation microelectronics, quantum information systems and energy applications.
Present and report research results and publish in peer-reviewed journals in a timely manner
Ensure compliance with environment, safety, health, and quality program requirements
Maintain a strong commitment to the implementation and perpetuation of values and ethics.

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

PhD in Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related science discipline completed within the last five years

Preferred Qualifications:

A strong background in atomistic and/or continuum modeling of materials under non-equilibrium conditions, including beam-matter interactions, high fields, non-equilibrium synthesis, with an emphasis on solid-state materials (2D materials, ultra-wide bandgap semiconductors, ferroelectrics, twisted materials etc.)
Hands-on expertise in developing and applying machine-learned interatomic potentials (MLIPs) to problems in solid-state materials
A demonstrated record of applying advanced AI/ML methods for scientific discovery
Expertise in using high-performance computing (HPC) platforms for enabling advanced scientific discovery
A record of productive and creative research proven by publications in peer-reviewed journals and/or conference presentations
Demonstrated ability to initiate and advance research directions independently
Demonstrated ability to contribute creatively and effectively within a collaborative team environment
Demonstrated ability to manage multiple priorities, adapt to evolving research needs, and work effectively across multiple projects in a collaborative research environment

Special Requirements:

Security, Credentialing, and Eligibility Requirements:

Postdocs:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

Letters of Recommendation:

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to psdrecruit@ornl.gov.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - AI for Science (Oak Ridge, TN, US, 37830)

Requisition Id 16254

Overview:

Do you have a passion for applying AI methods for accelerating scientific discoveries and an ability to think outside of the box in a collaborative and open environment? If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new postdoctoral research associate position in AI for Science.

We are seeking a highly motivated Postdoctoral Research Associate to conduct cutting-edge research in artificial intelligence for scientific discovery within a national laboratory environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering challenges. This role emphasizes interdisciplinary collaboration, scalable data systems, and impactful research aligned with mission-driven science.

As a postdoctoral researcher, you will help solve some of the most challenging problems faced by the nation. You will perform groundbreaking research on a wide range of significant problems, and you will apply your work to exciting research in multi-disciplinary domains alongside globally recognized experts. You will bring creative thinking, teamwork, and machine learning skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through publications and presentations.

The Learning Systems Group at the Oak Ridge National Laboratory focuses on artificial intelligence and computational research and applies this knowledge to support the nation’s leading initiatives. We hire top researchers who are ready to tackle the hardest problems faced by both the US and the world. Researchers of the Learning Systems group are changing the world with their research, and we are committed to hiring and retaining highly motivated, energetic, and creative individuals that will help us continue our breakthrough scientific endeavors.

Major Duties/Responsibilities:

Conduct independent and collaborative research in AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning
Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data (e.g., engineering diagrams), and predictive modeling
Design and implement benchmarking and evaluation frameworks for emerging AI systems, ensuring reproducibility and scientific rigor
Build scalable data pipelines and workflows for large, heterogeneous datasets in scientific and engineering domains
Contribute to research in areas such as synthetic data generation, simulation environments, and virtual/augmented reality applications
Collaborate with multidisciplinary teams across computing, engineering, and scientific domains
Publish research results in high-impact peer-reviewed journals and conferences; present findings to internal and external stakeholders
Support proposal development and contribute to new research initiatives
Co-mentor graduate students and contribute to a collaborative research environment

Basic Qualifications:

A Ph.D. in computer science, computational science, data science, artificial intelligence, or related field completed within the last 5 years or to be expected in 2025.
Strong foundation in machine learning, deep learning, or computer vision
Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
Demonstrated research productivity (e.g., peer-reviewed publications, conference presentations)
Experience designing experiments, evaluating models, and analyzing results
Ability to work effectively in interdisciplinary, team-based environments

Preferred Qualifications:

Experience with multimodal AI, large language models (LLMs), or retrieval-augmented systems
Familiarity with high-performance computing (HPC) and distributed training environments
Experience with synthetic data generation, simulation platforms (e.g., Unreal Engine, Omniverse), or virtual/augmented reality
Knowledge of scientific domains such as engineering systems, physics-based modeling, or quantum computing
Interest in AI applications for safety, risk modeling, or scientific workflows
Excellent written and oral communication skills
A strong publication record demonstrating either core machine learning capabilities or novel applications of machine learning.

Special Requirements:

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to Postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain talented people! The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Nonproliferation Professional (Oak Ridge, TN, US, 37830)

Requisition Id 16435

Overview:

The Nuclear Nonproliferation Division (NND) at Oak Ridge National Laboratory (ORNL) is a leader in research, development, and deployment of technology that enhances nuclear nonproliferation and safeguards, reduces threats to nuclear material at risk, and expands the national capabilities in radiation detection and nuclear forensics. The NND Nonproliferation Safeguards and Treaty Verification Section provides direct R&D and technical support to the DOE and its National Nuclear Security Administration (NNSA) in efforts to control and reverse the international proliferation of nuclear, chemical, biological, and missile (NCBM) technologies and programs that may support weapons research, development, and/or production. Our Section has a broad focus on technologies spanning the range of NCBM technologies; we are seeking a mid-career nonproliferation technical staff member to aid in these efforts.

Please provide a writing sample responding to the following prompt and upload the document: “In no more than 2 pages (excluding references), please explain an emerging technology or trend in your technical area of expertise and its potential impact on U.S. national security.”

If you have difficulty uploading the document, please email to crossdr@ornl.gov.

Major Duties/Responsibilities:

Prevent illicit or unintended transfers of NCBM weapon of mass destruction (WMD)-related commodities, software, and technology to destinations and end users of concern.
Evaluate emerging proliferation threats, their magnitude, implications, and the impacts on the United States’ worldwide interests.
Evaluate strategic trade controls and the efficacy of international and domestic export control guidelines for NCBM-specific and dual use equipment, with special attention to interpretation and applicability of controls, regulations, and guidelines.
Identify emerging technologies of interest to the nonproliferation and export control mission spaces, to include writing and delivering products and briefings on short notice.
Perform statutorily mandated dual use export licensing reviews for DOE/NNSA sponsor.
Represent DOE/NNSA sponsor in technical cooperation venues involving export control discussions, border security issues, nuclear fuel cycle (NFC) proliferation risks, and WMD development scenarios.
Develop and deliver briefings for various audiences and backgrounds, including U.S. government officials, technical subject matter experts, export compliance personnel, and domestic and foreign policy implementers.
Assist in developing proposals, program plans, budget, and scheduling activities. Collaborate with the DOE/NNSA sponsors on a regular basis and ensure the timely completion of quality results.
Collaborate with scientists, engineers, government officials, and U.S. private industry representatives, and collaborate across ORNL to leverage laboratory capabilities and advance mission outcomes.
Domestic travel is occasionally required. Foreign travel is possible.
All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. We foster a respectful, team-focused environment where all individuals can contribute and succeed.

Basic Qualifications:

Bachelor’s degree in engineering, physics, mathematics, chemistry, materials science, or related field and 10 years of relevant experience.
Experience evaluating technologies and technical details in documentation (such as papers, drawings, blueprints, presentations, etc.).
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes, and adapt to constantly evolving needs.
Experience presenting technical results to technical and non-technical sponsor communities.

Preferred Qualifications:

PhD in engineering, physics, mathematics, chemistry, materials science, or related field with a minimum of 5 years of relevant experience, or MS in these areas with a minimum of 8 years of relevant experience.
Knowledge and interest in U.S. and international export control regulations, including all United States export agencies (Energy, Commerce, State, Nuclear Regulatory Commission, and Treasury) and international control regimes (Nuclear Suppliers Group, Australia Group, Missile Technology Control Regime, and Wassenaar Arrangement).
Familiarity and interest in supporting dual use export licensing process through statutorily mandated license reviews for DOE/NNSA sponsor.
Familiarity and interest in emerging technologies of interest to the nonproliferation and export control mission spaces.
Highly motivated and organized self-starter with the ability to work independently and to participate creatively in collaborative teams across the DOE complex.
Strong interpersonal, oral, and written communication skills, including experience communicating with U.S. government officials, technical subject matter experts, export compliance personnel, and domestic and foreign policy implementers.

Special Requirements:

Visa sponsorship is not available for this position.
Q clearance with SCI: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Nuclear Mechanical Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16237

Overview:

We are seeking a Nuclear Mechanical Engineer to join the Systems Engineering (SE) Group within the Research Reactors Division (RRD) at Oak Ridge National Lab (ORNL). Our group is responsible for the High Flux Isotope Reactor (HFIR) configuration management program. The SE Group also provides technical support to operations and maintenance and performs systems analysis. In this role, you will perform design engineering and support manufacturing and fabrication of reactor core components, fuel elements, control rods and plates, etc. You will also handle maintaining overall cognizance of assigned HFIR structures, systems, and components (SSCs) and provide systems engineering support for operations and maintenance. 

Major Duties/Responsibilities:

Support engineering design work for new and upgraded HFIR structures, systems, and components.

Implements modifications in accordance with RRD configuration control processes.

Perform calculations, apply relevant codes and standards, and help develop design and material specifications.

Assist with fabrication, assembly, and implementation of approved design changes.

Maintain accurate drawings, system documentation, and as-built records.

Help troubleshoot equipment issues and prepare clear work instructions for maintenance activities.

Provide field technical support and contribute to preventive and predictive maintenance planning.

Support operability assessments and review equipment performance data to identify trends or vulnerabilities.

Participate in system walk-downs, evaluate system health, and help identify spare-parts and planning needs.

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS degree in mechanical engineering or related field, and at least 5 years of related experience.

Preferred Qualifications:

At least 7 years of related engineering experience.

Experience supporting engineering, maintenance, or project tasks in a technical environment.

Ability to read mechanical drawings and apply basic GD&T concepts.

Experience with ASME piping codes and process piping system design.

Experience troubleshooting mechanical or HVAC systems.

Understanding of machining and fabrication practices, including welding/joining techniques, combined with a sound understanding of machine design.

Exposure to regulated, safety-focused environments (DOE, NRC, or similar).

Special Requirements:

Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.

This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.

Benefits at ORNL:  

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, and Employee Discounts. Relocation Assistance is available.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoc -Microstructure Characterization and Mechanical Behavior of Advanced Structural Alloy (Oak Ridge, TN, US, 37830)

Requisition Id 16386

Overview:

We are seeking a Postdoctoral Research Associate to conduct advanced research on the mechanical behavior and microstructure evolution of advanced structural alloys.

This position resides in the Multiscale Modeling and Materials by Design (M2MD) Group within the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). The selected candidate will work in a highly collaborative environment, leveraging state-of-the-art neutron and X-ray characterization facilities to develop a mechanistic understanding of deformation, strengthening, and failure in advanced alloys.

The research will focus on integrating microstructure characterization, in situ diffraction techniques, and mechanical testing to uncover processing–microstructure–property relationships. The candidate will have opportunities to interact with multidisciplinary teams and contribute to high-impact publications and collaborative projects.

Major Duties/Responsibilities:

Conduct research on deformation mechanisms and mechanical behavior of advanced structural alloys.
Perform detailed microstructural characterization using SEM, EBSD, TEM, XRD, and related techniques.
Conduct in situ neutron or X-ray diffraction experiments to study micromechanical behavior under loading conditions (e.g., tension, compression, creep).
Design and execute mechanical testing experiments including tensile, fatigue, creep, impact, and nanoindentation testing.
Analyze lattice strain evolution, phase stress, and defect evolution using advanced data analysis tools.
Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance.
Apply analytical and modeling approaches to interpret experimental results.
Collaborate with internal and external research teams to define and advance research directions.
Present research findings and publish results in peer-reviewed journals.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A PhD in Materials Science & Engineering, Physics, Chemistry, or a related field completed within the last 5 years
A minimum of 2 years of post-Ph.D. experience utilizing computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage.
Proficiency in materials data analytics, including correlation analysis and machine learning techniques.

Preferred Qualifications:

Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD).
Experience in mechanical testing (tension, compression, fatigue, creep, nanoindentation) and in situ neutron or synchrotron diffraction techniques.
Background in advanced structural alloys, including high-entropy alloys or precipitation-strengthened systems.
Familiarity with diffraction and data analysis tools (e.g., GSAS, GSAS-II, VDRIVE).
Experience in alloy fabrication and processing (e.g., arc melting, thermomechanical processing, additive manufacturing).
Knowledge of deformation mechanisms such as dislocation slip, twinning, and precipitation strengthening.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Security, Credentialing, and Eligibility Requirements

Postdocs:

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

Letters of Recommendation:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Nonproliferation Professional (Casual) (Oak Ridge, TN, US, 37830)

Requisition Id 16434

Overview:

The Nuclear Nonproliferation Division (NND) at Oak Ridge National Laboratory (ORNL) is a leader in research, development, and deployment of technology that enhances nuclear nonproliferation and safeguards, reduces threats to nuclear material at risk, and expands the national capabilities in radiation detection and nuclear forensics. The NND Nonproliferation Safeguards and Treaty Verification Section provides direct R&D and technical support to the DOE and its National Nuclear Security Administration (NNSA) in efforts to control and reverse the international proliferation of nuclear, chemical, biological, and missile (NCBM) technologies and programs that may support weapons research, development, and/or production. Our Section has a broad focus on technologies spanning the range of NCBM technologies; we are seeking a part-time casual, senior nonproliferation technical staff member to aid in these efforts on an on-call basis.

Major Duties/Responsibilities:

Prevent illicit or unintended transfers of NCBM weapon of mass destruction (WMD)-related commodities, software, and technology to destinations and end users of concern.
Evaluate strategic trade controls and the efficacy of international and domestic export control guidelines for NCBM-specific and dual use equipment, with special attention to interpretation and applicability of controls, regulations, and guidelines.
Assist in developing proposals, program plans, budget, and scheduling activities. Collaborate with the DOE/NNSA sponsors to ensure the timely completion of quality results.
Collaborate with scientists, engineers, government officials, and U.S. private industry representatives, and collaborate across ORNL to leverage laboratory capabilities and advance mission outcomes.
All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. We foster a respectful, team-focused environment where all individuals can contribute and succeed.

Basic Qualifications:

BS/BA degree in engineering, physics, mathematics, chemistry, materials science, or related field and 20 years of relevant experience.
Experience evaluating technologies and technical details in documentation (such as papers, drawings, blueprints, presentations, etc.).
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within given timeframes, and adapt to constantly evolving needs.

Preferred Qualifications:

Knowledge in U.S. and international export control regulations, including all United States export agencies (Energy, Commerce, State, Nuclear Regulatory Commission, and Treasury) and international control regimes (Nuclear Suppliers Group, Australia Group, Missile Technology Control Regime, and Wassenaar Arrangement).
Strong interpersonal, oral, and written communication skills, including experience communicating with U.S. government officials, technical subject matter experts, export compliance personnel, and domestic and foreign policy implementers.
Strong programmatic management skills.

Special Requirements:

Visa sponsorship is not available for this position.
Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - Chirality-driven Quantum States (Oak Ridge, TN, US, 37830)

Requisition Id 15638

Overview:

Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

We are seeking a Postdoctoral Research Associate to perform experimental studies on chirality driven quantum states. This position resides in the Quantum Heterostructures Group in the Foundational & Quantum Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL).

As part of our research team, you will work in a highly collaborative environment with a broad spectrum of expertise, including quantum transport, device fabrication, sample growth, angle-resolved photoemission spectroscopy (ARPES), neutron/x-ray scattering, and spectroscopy.

Major Duties/Responsibilities:

Transport and scattering characterizations of correlated and topological materials.
Physical property characterizations.
Experience with user facilities.
Data analysis of structural, electronic, magnetic, and topological properties.
Work with others to maintain a high level of scientific productivity.
Publish scientific papers in key journals and present at key meetings.
Ensure compliance with environment, safety, health, and quality program requirements.
Maintain a strong commitment to the implementation and perpetuation of values and ethics.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.

Basic Qualifications:

A PhD in condensed matter physics, materials science and engineering, or a closely related field completed within the last five years.
Excellent track record in the physics of correlated materials or topological materials.
Expertise in transport measurements and device fabrication or neutron/photon scattering and material’s synthesis.

Preferred Qualifications:

Proficiency with scripting or programmatic languages, such as Python, Igor, and labview.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs.

Special Requirements:

Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to recruiting@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

Security, Credentialing, and Eligibility Requirements:

This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

Benefits at ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Group Leader, Multimodal Sensor Analytics (Knoxville, TN, US, 37932)

Requisition Id 16263

Overview:

We are seeking a group leader who will focus on AI/ML methods/application, image/signal processing, and sensor systems. This position resides in the Multimodal Sensor Analytics (MSA) group in the Energy Sensing Analytics and Communications (ESAC) section, Electrical and Energy Infrastructures Division (EEID), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).

The MSA Group Leader will be responsible for leading research in AI/ML for sensor analytics systems, work with the section head to develop strategies for maintaining and growing technical application spaces and leading a group of 8-12 researchers within MSA. Special emphasis and focus is towards the research, development, and demonstration of advanced image/signal processing, machine learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures.

Major Duties/Responsibilities:

Initiate, lead and perform independent R&D on an ongoing basis.
Develop and grow programs in image/signal processing, applied machine learning, and artificial intelligence for applications for application areas including AI security, computational imaging, biometrics, nuclear nonproliferation, and energy infrastructures.
Develop a vision and implement a cohesive group research strategy to ensure the success of new and ongoing research projects to position the group for future success.
Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Provide feedback to address performance issues in a timely manner.
Provide relevant input to assist the ESAC Section Head with staff development while providing direct and impactful guidance to staff on regular basis.
Attract a quality, diverse pool of top candidates and hire staff members who are committed to world-class R&D and aspire to be the best in their field.
Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
Serve as immediate supervisor for staff members in group.
Advance the reputation of the group members and standing of the group through establishing collaborations, Professional Society leadership and involvement, and organization of technical events.
Support group members by consistently reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards.
Hold regular scientific/technical group meetings and be visible in the labs and workplace.
Assume front-line responsibility for safety in the group’s laboratory; mentor and empower the Laboratory Space Managers to create a strong safety culture.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

PhD in electrical/computer engineering, computer science, or a related discipline
A minimum of 8 years of relevant experience in image/signal processing and machine learning
Demonstrated experience and success in leading R&D teams

Preferred Qualifications:

Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:

Visa sponsorship is not available for this position
This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate, Quantum Information Science (Oak Ridge, TN, US, 37830)

Requisition Id 16262

Overview:

We are seeking a postdoctoral researcher to work at the intersection of tensor networks, quantum algorithms, scientific computing, topological physics, and quantum hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning qubit engineering to quantum algorithmic analysis to applications across the physical sciences (condensed-matter or high energy physics, data science). You will Interpret, report, and present research concepts and results to national audiences.

This position resides within the Quantum Computational Science Group in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED performs transdisciplinary computational science and analytics at scale to produce advancements in physical sciences, engineering, and biomedicine and health. The Quantum Computational Science group addresses this mission through the development of quantum computational methods and software for diverse scientific applications.

Major Duties/Responsibilities:

Conduct research in mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software
Write peer-reviewed scientific articles and present research findings at major scientific conferences
Collaborate with ORNL staff scientists and external collaborators
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service

Basic Qualifications:

A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline.
A strong foundation in linear algebra (tensor networks and beyond) and quantum physics
Familiar with programming languages and scientific computing

Preferred Qualifications:

Experience working with low-rank linear algebraic approximation methods.
Experience with quantum algorithms (other than variational or adiabatic) and/or quantum hardware
Knowledge of topological quantum field theories, topological band theory.
Strong analytic mathematical skills.

Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.)

Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Letters of Recommendation: 2 of references are required. Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

Benefits at ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Computational Fluid Dynamics Modeler (Early Career) (Oak Ridge, TN, US, 37830)

Requisition Id 16264

Overview:

Major Duties/Responsibilities:

Apply initial modeling efforts as they pertain to enrichment technologies.
Work closely with testing staff & project management to develop targeted model applications
Plan and execute modeling studies.
Produce and present thorough, scientific reports describing methods, materials, and conclusions based on modeling analyses.
Develop and write proposals for innovative research and funding.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.

Basic Qualifications:

BS degree in engineering, physics, computer science, or closely related field.
Experience in applications of computational fluid dynamic models for decision making,

Excellent written and oral communication skills.
Demonstrated experience working in cross-disciplined teams.
The ability to clearly communicate, both verbally and in writing, to sponsoring agencies, other engineers and researchers, technicians, and craftsmen.

The ability to work flexible hours and travel when required.
Candidate must be able to obtain and maintain a DOE Q clearance which requires US Citizenship.

Preferred Qualifications:

MS degree in engineering, physics, computer science, or closely related field
Strong computational skills with modeling and simulation experience using High Performance Computing environments and experience with Linux environments
Experience with MATLAB, Python, or related development packages for processing of model results
Familiarity with Finite Element Methods.

Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.

Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Active DOE Q Clearance

Special Requirements:

Visa sponsorship is not available for this position.
This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

Relocation: Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Signal Processing and AI Researcher (Knoxville, TN, US, 37931)

Requisition Id 15983

Overview:

We are seeking an R&D Associate who will focus on developing and applying advanced signal processing, wireless communications, and AI techniques to RF sensing, drone detection, and power grid waveform analytics.

You will apply methods traditionally used in wireless communications and signal intelligence — including time-frequency analysis, interference modeling, multi-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications.

This position resides within the Grid Communications and Security (GCS) Group in the Energy Sensing, Analytics, and Communications (ESAC) Section, Electrification and Energy Infrastructure Division (EEID) at Oak Ridge National Laboratory.

Major Duties/Responsibilities:

Develop and implement advanced time-frequency and spectral analysis techniques for high-frequency voltage/current waveform data
Apply wireless PHY-layer concepts (synchronization, channel estimation, interference mitigation, multi-user detection) to grid disturbance detection
Develop RF-based drone detection and classification pipelines using IQ data and SDR platforms
Implement localization and triangulation algorithms using multi-sensor fusion (e.g., TDOA, AOA, RSSI-based methods)
Develop RF propagation and digital twin models for infrastructure environments (urban, substation, corridor scenarios)
Integrate physics-informed machine learning models with signal processing feature extraction
Develop prototype software tools for automated waveform analytics and real-time disturbance detection
Prepare proposals, reports, and peer-reviewed publications
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

Ph.D. in electrical engineering, wireless communications, signal processing, or closely related discipline
1–4 years relevant post-Ph.D. experience
Demonstrated expertise in digital signal processing (time, frequency, and delay-Doppler domains)
Experience with RF signal analysis and wireless communication systems
Experience with SDR platforms (e.g., USRP) and IQ data processing
Experience with MATLAB and Python
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Preferred Qualifications:

Experience applying wireless signal processing techniques to non-traditional domains (e.g., infrastructure sensing, anomaly detection)
Experience with AI/ML for time-series and spectral data
Experience with RF propagation modeling or spectrum coexistence
Experience with interference modeling and mitigation
Knowledge of power grid disturbance signals or high-frequency waveform analytics

Special Requirements:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

Security, Credentialing, and Eligibility Requirements:

For foreign national candidates:

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

DOD SkillBridge Military Intern (Oak Ridge, TN, US, 37831)

Requisition Id 15805

Overview:

Oak Ridge National Laboratory (ORNL) is currently recruiting Active-Duty U.S. Military personnel for the DoD SkillBridge Internship Program.

The program is 4-6 months in duration and offers service members an opportunity to transition into challenging assignments in areas such as:

Engineering (Electrical, Mechanical, Nuclear, etc.)
Facilities and Operations
Environmental Safety, Health and Quality (ESH&Q)
Explosive Ordinance Disposal (EOD)
Technical Support
Nuclear Safety
Nuclear Operations
Cyber Security,
Artificial Intelligence (AI)
High performance Computing (HPC)
IT and Linux Systems Engineering
and other Military Occupational Code (MOC) projects

Service members will also have the opportunity to participate in career development opportunities to enhance professional growth.

This is an Evergreen requisition and will be used to fill multiple positions across the organization.

Major Duties and Responsibilities:

As a DOD SkillBridge intern at ORNL you can expect meaningful work and an opportunity to contribute to our mission of scientific discoveries and technical breakthroughs for solutions in energy and national security and to provide economic benefit to the nation.

Job duties and responsibilities will vary based on position. Further details will be discussed during the screening process.

Basic Qualifications:

Applicants must be active-duty U.S. military and have 180 days remaining in service by the start date of the internship.

If you have questions regarding the DOD SkillBridge program at ORNL, or need an accommodation to apply due to a disability, please email Lisa Bollinger, bollingerlm@ornl.gov .

About ORNL

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

HPC Linux Storage Engineer (Oak Ridge, TN, US, 37831)

Requisition Id 15790

Overview

Oak Ridge National Laboratory (ORNL), home to some of the world’s most powerful supercomputers, is seeking highly skilled professionals to support large-scale storage systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital role in designing, deploying, optimizing, and maintaining infrastructure that powers cutting-edge research across diverse scientific domains.

This evergreen posting represents multiple opportunities across ORNL’s high-performance computing (HPC) environment, supporting scalable, reliable, and secure computing and storage capabilities. Applications are reviewed on an ongoing basis as new positions become available to meet the dynamic needs of our world-class computing facility.

Job Duties and Responsibilities May Include:

Design and Management of Infrastructure: Architect, deploy, and manage large-scale storage systems and HPC platforms to support research, scientific, and enterprise workloads. Develop and implement solutions for structured, unstructured, and archival data storage, focusing on scalability, reliability, and performance.
Systems Analysis and Development: Apply systems analysis techniques to consult with users/customers, determine functional requirements, and design, test, or optimize storage and computational solutions tailored to their needs. Develop, document, and modify solutions, including system prototypes and automated workflows, to enhance operational efficiency.
Performance, Optimization, and Troubleshooting: Ensure the performance, availability, scalability, and security of diverse infrastructure environments. Diagnose and resolve complex operational challenges quickly and effectively, applying advanced performance optimization techniques for a wide range of workloads.
Collaboration and Best Practices: Work closely with stakeholders from research, technical, and operational teams to understand workflows, identify opportunities for improvement, and deliver effective solutions. Define, implement, and enforce best practices, standards, and procedures across projects and teams.
Automation and Innovation: Automate system configuration, provisioning, monitoring, and maintenance to reduce manual efforts and downtime. Evaluate emerging technologies and tools to continuously improve system capabilities, adapt to changing needs, and plan for future advancements.
Support and Maintenance: Support critical infrastructure through participation in a 24/7 on-call rotation and off-hours maintenance windows. Resolve hardware and software issues in coordination with vendors, ensuring minimal impact on operations.

Basic Qualifications

Bachelor’s degree in computer science, engineering, information technology, or a related field; and at least 5 years of professional experience managing Linux/UNIX systems in heterogeneous environments. An equivalent combination of education and experience will be considered.
Demonstrated experience with high-performance computing (HPC) storage systems and enterprise storage platforms (e.g., Lustre, GPFS, BeeGFS, or WEKA).
Proficiency in scripting languages (e.g., Python, Bash, Perl) and configuration management/automation tools (e.g., Ansible, Puppet, Git).
Strong communication, collaboration, and problem-solving skills with the ability to design and implement solutions independently.

Preferred Qualifications

Active DOE Q, DoD Top Secret, or TS/SCI clearance.
Hands-on experience with HPC cluster technologies, including job schedulers (e.g., SLURM) and system deployment tools (e.g., Warewulf, PXEboot, Bright Cluster Manager).
Expertise in high-performance parallel file systems, tape library systems, and storage networking technologies (e.g., RAID, ZFS, NVMe-oF, Infiniband).
Familiarity with performance monitoring tools (e.g., Grafana, Nagios), benchmarking systems, and I/O optimization techniques.
Experience with virtualization and containerization platforms (e.g., VMware, KVM, Podman, Apptainer).
Background in open source development, including submitting patches upstream, and building custom Linux packages (e.g., RPM for RHEL).
Demonstrated ability to troubleshoot and optimize high-performance storage, compute, and networking systems in HPC environments.
Experience documenting technical processes and contributing to complex technical projects in government, scientific, or highly technical settings.

Hybrid Eligibility

These positions are located in Oak Ridge, Tennessee and require onsite presence. We offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position, which provides flexibility to work periodically from your home, while reporting onsite to the Oak Ridge, Tennessee location on a weekly and regular basis.

Special Requirement

This position requires the ability to obtain and maintain clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL

Why Join Us

Work on the world’s most powerful supercomputers, including Frontier, the first system to achieve exascale performance.
Enable breakthrough science in fields like fusion energy, climate modeling, AI, and national security.
Collaborate with diverse teams of scientists, engineers, and technologists from across the DOE complex and academia.
Grow your career in a mission-driven, innovation-focused environment with access to professional development and leadership opportunities.
Enjoy life in East Tennessee, with a thriving research community, scenic outdoor recreation, and a high quality of life.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Postdoctoral Research Associate - ML & CI for Sparse & Multi-Modal Computed Tomography (Oak Ridge, TN, US, 37830)

Requisition Id 15490

Overview:

The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and industrial imaging data. You will directly contribute to developing and deploying algorithms for multi-modal tomography (X-ray, neutron, and electron), advancing methods for non-destructive evaluation (NDE) and scientific imaging. This position emphasizes bridging cutting-edge ML/AI with real-world imaging systems in collaboration with experimental scientists, leveraging facilities such as the Manufacturing Demonstration Facility (MDF). This role offers a unique opportunity to drive impactful research on sparse scientific imaging while building a strong research profile in computational imaging and ML for CT.

Major Duties/Responsibilities:

Lead research on sparse-view and limited-angle CT algorithms for scientific and industrial applications.
Develop and apply ML/AI-driven computational imaging methods (e.g., deep learning, implicit neural representations, diffusion models) for CT reconstruction, enhancement, and defect detection.
Advance algorithms for multi-modal tomography (X-ray, neutron, electron).
Collaborate with experimentalists to validate methods on real-world systems.
Publish in high-impact journals and present at leading national and international conferences.
Ensure compliance with environment, safety, health, and quality program requirements.
Uphold strong values and ethics in collaborative research.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years.
Demonstrated expertise in computed tomography (CT), with experience in sparse-view and/or limited-angle reconstruction and published research in this area.
Experience applying ML/AI algorithms to scientific imaging data (e.g., CT, microscopy, multi-modal datasets).
A strong record of productive and creative research, demonstrated by peer-reviewed publications and conference presentations.

Preferred Qualifications:

Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow) for tomographic reconstruction and analysis.
Familiarity with physics-informed, plug-and-play (PnP), or generative models for imaging.
Prior experience with multi-modal tomography (X-ray, neutron, electron).
Knowledge of high-performance computing or cloud environments for large-scale data.
Strong collaboration skills and ability to work in interdisciplinary teams.

Special Requirements:

Instructions to upload documents to your candidate profile:

Login to your account via jobs.ornl.gov
View Profile
Under the My Documents section, select Add a Document

Security, Credentialing, and Eligibility Requirements:

For foreign national candidates:

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov or call 1.866.963.9545.

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

US ITER Project Engineer (Temporary) (Oak Ridge, TN, US, 37830)

Requisition Id 16432

Overview:

We are seeking a US ITER Fueling Engineer who will focus on assisting in the design, validation, documentation, and fabrication preparations in support of the ITER Fueling and Impurity Injection systems). This position resides in the Plasma Fueling Group in the US ITER Technical Systems Division, at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Assist with the performance of all aspects of pellet injection system design, including requirements management, interface control, specification development, base calculations, statement of work preparation, and design review preparation
Participate in technical review of final design documents and drawings including Process Flow Diagrams, Control/Logic Diagrams, Process & Instrumentation Diagrams, Technical Specifications, analysis, calculations, and other design documentation
Write technical specifications and contribute to drawing production associated with the assembly of ITER components
Process and submit technical documents through the US ITER and IO document management systems
Work with TPOs, Team Leads, engineers, QA, and procurement within US ITER to develop technical documentation, and design packages detailing requirements
Assist the assigned Technical Project Officer (TPO) responsible for the procurement to lead evaluation of proposals for vendor selection and contract award
Manage design activities internal or external to the US ITER
Monitor fabrication contracts with industry for ITER components and report progress and variances to the TPO
Participate in the daily activities of a cross functional team of engineers and designers, including US ITER QA, Procurement, and Project Controls support, in supporting specific procurement contract activities
Manage configuration control activities during design and fabrication phases
Evaluate fabrication deviation requests and non-conformances from industrial suppliers
Foreign and domestic travel to fabricators, support subcontractors, and sponsor (IO) facilities are required
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

A BS in Engineering, Physics, or other related technical field, with a minimum of 1 year of experience in the design, construction, and operation of mechanical, vacuum, or cryogenic systems. A combination of experience and education can be considered.
Knowledge of manufacturing and deign processes as well as project management methods.
Must be highly motivated, self-directed, and able to work in a team environment
Must have effective problem solving, time management, and communication and organizational skills
Demonstrated ability to work within a team to evaluate problems, investigate and propose solutions
Excellent written and verbal communications skills

Preferred Qualifications:

MS in Engineering or related technical field or related to Project Management
Thorough knowledge of operating principles of piping systems, vacuum pumps, and cryogenic systems, with an understanding of how to select appropriate equipment and materials for specific cryogenic environments
Prior experience working with engineers and designers responsible for cryogenic systems and associated control systems
Experience in supporting complex technical projects and familiarization with design and manufacturing processes.
Ability to apply industry codes and standards to document, design, and fabrication activities
Demonstrated ability to contribute to support the successful achievement of project goals, utilization project management tools to support execution of project scope, interface effectively with the TPO, and interface effectively with vendors and fabricators as directed by the TPO
Familiarity of manufacturing processes including associated inspection/certification techniques

Special Requirements:

Visa sponsorship is not available for this position.
This is a temporary 12-month position. The appointment length will be up to 12 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

About ORNL:

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior HPC Linux Systems Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16005

Overview:

The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking a highly qualified individual to play a key role in improving the security, performance, and reliability of the NCCS computing environments. This includes supporting one of the fastest supercomputers in the world, Frontier, along with numerous commodity clusters and specialized programs and partnerships. Frontier is one of the scientific research community's most powerful computational instruments for exploring solutions to some of today's most challenging problems.

As an HPC Linux Systems Engineer, you will work within the HPC Scalable Systems Group inside of the NCCS Systems Section to support numerous activities of the center. The Scalable Systems group oversees, administers and supports system installation, deployment, acceptance, performance testing, upgrades, problem diagnosis, and troubleshooting of large-scale HPC computational resources. The Systems Section is within the National Center for Computational Sciences Division (NCCS). The HPC Systems Section is responsible for the division’s computing, storage, networking, and infrastructure systems and services. The NCCS provides state-of-the-art computational and data science infrastructure, coupled with dedicated technical and scientific professionals, to accelerate scientific discovery and engineering advances across a broad range of disciplines. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities.

Major Duties/Responsibilities:

Install, integrate, and administer HPC Linux clusters and high-speed network
Diagnosing system operational problems quickly and effectively
Coordinating with vendors to resolve hardware and software problems
Recommending, planning, and coordinating hardware and software changes with customer participation using change management processes
Porting and writing system management tools
Documenting system administration procedures for routine and complex tasks
Participating in a 24-hour, 7-day on-call support rotation and off-hours maintenance windows
System implementation/integration into the NCCS environment and systems performance analysis.
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service.

Basic Qualifications:

Bachelor’s Degree in a scientific or technical field
8+ years of Linux systems experience is required
Demonstrated experience working in classified environments, including a thorough understanding of security policies, compliance frameworks, and associated standard processes (e.g., NIST, DISA STIGs).
Demonstrated experience designing and deploying of HPC systems, ensuring they meet the computational needs and security requirements of a classified environment.
An equivalent combination of education and experience will be considered

Preferred Qualifications:

Experience managing Linux operating systems in a large-scale system environment
Solid understanding of networked computing environment concepts
8+ years of experience with Linux Cluster Administration
Ability to develop and maintain programs and scripts that aid in the operation and automation of administrative tasks using various shell and scripting languages (bash, Python, Go)
Experience with Lustre and GPFS file systems
Experience with batch schedulers (particularly SLURM)
Experience deploying and maintaining automated configuration management software such as Puppet
Strong interpersonal and communication skills
Ability to work as a team player
Proactive and solution-oriented problem solver
Prior project and/or team leadership experience

Special Requirement:

Q clearance with SCI: This position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

Benefits at ORNL:

In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Senior Mechanical Process Technician (Oak Ridge, TN, US, 37830)

Requisition Id 16452

Overview:

We're seeking a hands-on technician experienced in both Superconducting Radio Frequency (SRF) systems and cryogenics who will focus on the operation and maintenance of large-scale helium liquefaction systems and cryomodules within the accelerator complex.

This position resides in the Superconducting Linac Systems Group in the Accelerator Systems Section, Research Accelerator Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities:

Serve as a senior Central Helium Liquefier Specialist responsible for operation, troubleshooting, and optimization of large-scale cryogenic helium process systems and rotating equipment.
Lead recovered helium purification and liquid helium Dewar filling operations based on supply chain availability
Perform and lead complex cryomodule repair, maintenance, refurbishment, testing, and commissioning activities with minimal supervision.
Support cryogenic and Superconducting Radio Frequency (SRF) research and development efforts, including assembly, certification, and operation of SNS linac cryogenic components and systems.
Respond independently to alarms, abnormal events, and operational issues, providing technical leadership during recovery and troubleshooting activities.
Mentor and train technical staff, develop procedures and documentation, and provide technical input during design reviews and Failure Modes and Effects Analysis (FMEA) activities.
Set up, operate, and troubleshoot process, test, and measurement equipment; collect and analyze system performance data to verify operational integrity and acceptance criteria.
Provide work direction and technical guidance to trades, crafts, contractors, and junior personnel supporting fabrication, assembly, installation, and commissioning activities.
Ensure compliance with Environment, Safety, and Health (ESH) and quality requirements while supporting continuous improvement initiatives for system reliability and operational performance.
Primarily work day shift with occasional alternate and some weekend shifts.

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

An AS degree in mechanical technology or related field with at least 7 years of relevant experience (a high school diploma with a minimum of 9 years of relevant experience will also be considered)
Experience in operating large-scale process systems
Must be willing to learn new skills and train others

Preferred Qualifications:

Experience working in a clean production environment, using mechanical and electronic test and measurement equipment
Experience with high-vacuum systems and cleanroom techniques
Experience in operating and maintaining rotating equipment

Special Requirements:

Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.
Visa sponsorship is not available for this position.

For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

Benefits at ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

UT-ORII R&D Associate - Advanced Construction Systems (Knoxville, TN, US, 37932)

Requisition Id 16384

Overview:

We are seeking an early-career R&D Associate Staff Member to develop and demonstrate advanced manufacturing, robotics, and automation technologies for next-generation building construction. This position resides in the Manufacturing Robotics and Controls Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).

This role will focus on the development and implementation of novel robotic construction workflows, human-machine collaboration strategies, and automated manufacturing platforms that transform how buildings are designed and constructed. The successful candidate will contribute to a UT-ORII Convergent Research Initiative (CRI) aimed at enabling affordable, resilient, high-productivity construction practices through advanced automation.

As an ORNL staff member aligned with UT-ORII, the selected candidate will also be appointed as a UT-ORII Fellow, working collaboratively with University of Tennessee faculty through joint research engagement and student mentorship.

ORNL is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

Position Summary:

You will:

Develop and demonstrate robotic and automated systems for advanced building construction
Create new manufacturing workflows that integrate robotics, automation, digital design, and advanced materials
Investigate human-machine interaction strategies to augment skilled labor and improve productivity and safety
Lead technical tasks within a UT-ORII Convergent Research Initiative focused on industrialized and automated construction
Contribute to proposal development and help grow a nationally visible research portfolio in automated construction technologies

This is an RP2-level independent contributor position expected to solve technically complex problems with limited supervision and develop growing external visibility.

Major Duties/Responsibilities:

You will:

Conduct independent R&D in robotics, automation, and advanced manufacturing systems for building construction
Design, prototype, and demonstrate new robotic construction processes (e.g., robotic assembly, automated fabrication, large-scale additive manufacturing, modular construction automation)
Develop control strategies, perception systems, and digital workflows for construction-scale automation
Advance human-robot collaboration methods in manufacturing and construction environments
Integrate sensing, control, and manufacturing systems to enable repeatable, scalable construction practices
Collaborate with UT faculty, ORNL researchers, and industry partners through UT-ORII
Mentor graduate and undergraduate students engaged in the CRI
Prepare and present research results to DOE sponsors, industry, and academic audiences
Publish in peer-reviewed journals and present at leading conferences
Contribute to proposal development and strategic research planning
Ensure compliance with environment, safety, health, and quality requirements per ORNL SBMS
Deliver ORNL’s mission by aligning behaviors with our core values of Impact, Integrity, Teamwork, Safety, and Service

Basic Qualifications:

Ph.D. in Mechanical Engineering, Robotics, Electrical Engineering, Civil Engineering, Construction Engineering, Manufacturing Engineering, or a related discipline
Demonstrated research experience in at least one of the following:
Robotics and autonomous systems
Construction automation or industrialized construction
Advanced manufacturing systems
Human-machine interaction in manufacturing environments
Robotic process development and system integration
Record of peer-reviewed publications, conference papers, patents, or equivalent technical contributions

Preferred Qualifications:

Experience developing robotic systems for large-scale or unstructured environments
Experience in advanced building construction technologies (modular construction, prefabrication, additive construction, automated assembly)
Knowledge of robotic control systems, perception systems, or digital twin frameworks
Experience integrating sensing, controls, and manufacturing hardware
Industry experience in automation, construction technology, or advanced manufacturing
Strong written and oral communication skills
Demonstrated ability to work across disciplines
Emerging leadership potential and interest in growing a research portfolio

Security, Credentialing, and Eligibility Requirements:

About ORNL:

About UT-ORII:

The University of Tennessee–Oak Ridge Innovation Institute (UT-ORII) is a strategic partnership between ORNL and the University of Tennessee focused on convergent research and talent development. The initiative develops interdisciplinary leaders in science, energy, and advanced technologies. UT-ORII Fellows engage in joint research, student mentorship, and collaborative program development that strengthens U.S. innovation leadership.

Benefits:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

#LI-DC1

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Target Operations Shift Technician (Oak Ridge, TN, US, 37830)

Requisition Id 16403

Overview:

Oak Ridge National Laboratory is the largest U.S. Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

We are seeking a Target Operations Shift Technician (OST) who will serve as a member of the Target Operations Team at the Spallation Neutron Source (SNS). As an OST you are responsible for safe, efficient, and reliable operation of the Spallation Target and support systems within prescribed requirements. You will have additional responsibilities in the role of Systems Expert for assigned systems.

Major Duties/Responsibilities:

Monitor and test Target systems equipment, maintain logs and complete appropriate paperwork.

Diagnose Target systems statuses and initiate corrective action based on available information.

Trend, analyze and interpret operational data to provide input for Target systems performance reports.

Use of Target operations procedures to implement appropriate actions under normal, abnormal, outage and emergency conditions.

Obtain and maintain qualification as Target Operations Shift Technician through bi-annual recertification.

Read and interpret schematics, P&ID’s, and system drawings.

Comply with environmental, safety, health, and quality program requirements.

Oversee installation, testing and commissioning of new systems and components.

Develop a high-level knowledge for designated systems and serve as the System Expert.

Develop and maintain system training modules, and operating procedures to reflect system changes or updates.

Coordinate with System Engineers to optimize equipment upgrades and system performance.

Revise and update operating procedures, alarm response procedures and training modules.

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

An associate degree in mechanical, nuclear, process technology or a related discipline and minimum of 5 years of relevant experience. An equivalent combination of education and experience will be considered (HS diploma with at least 7 years of relevant experience or BS degree with at least 3 years of relevant experience).

Minimum of 2 years of experience working in a nuclear or radiological facility.

Experience with Word, Excel, PowerPoint, and related software.

Must be able to work rotating shift work (facility operates 24/7).

Preferred Qualifications:

Accelerator Target or Nuclear Operations experience.

U.S. Navy Nuclear Training.

Excellent written and oral communication skills.

Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.

Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.

Special Requirements:

Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.

Visa sponsorship is not available for this position.

Security, Credentialing, and Eligibility Requirements:

For foreign national candidates:

Benefits at ORNL:  

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, and Employee Discounts.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Project Controls Manager (Oak Ridge, TN, US, 37831)

Requisition Id 15917

Overview

The Project Management Office (PMO) of the Oak Ridge National Laboratory (ORNL) seeks a Project Controls Manager to manage a team of project controls analysts for a complex, multi-billion dollar EVMS government project. Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out the research needed to accelerate the delivery of solutions to the marketplace.

Major Duties/Responsibilities

The Project Controls Manager is responsible for directing and leading the project controls team, developing, and implementing comprehensive control strategies that align with overall project objectives and budget and schedule targets. This role requires close collaboration with project leadership and cross-functional teams to establish a cost and schedule baseline, track performance, identify/manage risks, handle change requests, and enforce compliance with DOE and ORNL requirements. Key responsibilities include:

Providing leadership and mentorship in all areas of project management for PMO staff assigned to the project.
Facilitating effective communication and coordination with the PMO.
Developing and maintaining the project Work Breakdown Structure (WBS) and accompanying dictionary, along with logic-driven, resource-loaded schedules and detailed cost estimates.
Identifying and managing risks, including performing Monte Carlo simulations as needed.
Managing change control processes.
Preparing various status reports, including those based on Earned Value Management (EVM), and ensuring compliance with ORNL and DOE project management governance.
Conducting project management process and systems training for all relevant project staff, with a specific focus on technical control account managers (CAMs).
Supporting project reviews, such as project status reviews, stage gate reviews, and earned value system surveillance/compliance reviews.
Leading funding analysis and developing strategies for handling shortfalls or surpluses.
Developing reports and meeting structures as needed to highlight potential issues and areas of positive impact for exploitation.
Provide guidance and counseling regarding schedules, budgets, and EVMS processes to senior project leadership.
Delivery of ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications

A bachelor’s degree in project or construction management, business, engineering or equivalent combination of education, experience, and specialized training will be considered.
Ten years of experience successfully performing project controls duties as noted above for major capital project(s) within the DOE or Department of Defense (DOD).
Prior project experience working within an EVMS environment compliant with EIA- 748; to include setting baselines, incorporating baseline changes, producing monthly reports and variance analysis.
Three years of lead or supervisory experience.
Complete understanding of project controls best practices regarding scope, time, cost, change management.
Complete understanding of DOE Order 413.3b and EIA-748 compliant EVM.
Significant hands-on experience with: Oracle Primavera, Deltek Cobra or similar cost processors, change control applications, and custom system and report development.
Strong communications skills and the ability to successfully interact with DOE, senior laboratory management, and senior project staff members.

Preferred Qualifications

Ten years of project experience working within an EVMS environment compliant with EIA- 748; to include setting baselines, incorporating baseline changes, producing monthly reports and variance analysis.
MS in project or construction management, business, engineering or equivalent.
Fifteen years of experience successfully performing project controls duties as noted above for research-based or construction project(s) within the DOE Office of Science within a national laboratory environment.
Experience in training on project management principles or tools, specifically CAM training.

Solid understanding of ORNL and DOE Office of Science project management best practices.

Project Management Professional (PMP) certification, or equivalent project management certification.

Special Requirements

Visa Sponsorship is not offered with this position.

For foreign national candidates:

About ORNL

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Research Associate, AI and Simulations Scientist for Medical Imaging & Therapy (Oak Ridge, TN, US, 37830)

Requisition Id 16393

Overview:

Key Responsibilities:

Develop and validate Virtual Clinical Trial (VCT) frameworks to simulate patient populations and evaluate the efficacy of radiopharmaceutical interventions and imaging protocols.
Integrate AI/ML techniques with Monte Carlo simulations (e.g., Geant4, MCNP) to accelerate radiation transport calculations and image reconstruction workflows.
Optimize computational medicine codes for leadership-class HPC architectures to enable high-throughput population-scale simulations.
Collaborate across interdisciplinary teams spanning nuclear medicine, radiology, oncology, and computational physics.
Publish findings in high-impact journals and present at leading clinical and computational conferences.

Required Qualifications:

Ph.D. (within 0–5 years) in Medical Physics, Nuclear Engineering, Biomedical Engineering, or a related computational field.
Strong programming skills in C++, Python, or similar languages relevant to scientific modeling and image processing.
Extensive experience with one or more of the following codes (or similar): Monte Carlo radiation transport codes (e.g., Geant4, GATE, TOPAS), DNA damage and repair modeling (MEDRAS), multicellular modes (Compucell, Physicell).
Experience working on High-Performance Computing (HPC) systems for large-scale data analysis or complex simulations.
Demonstrated ability to conduct independent research with a strong publication record in medical imaging and/or radiotherapy.
Demonstrated ability to obtain research funding (e.g., DOE, NIH, DoD, or industrial partnerships).
Excellent written and verbal communication skills for effective interdisciplinary collaboration.
Commitment to ORNL’s core values: Impact, Integrity, Teamwork, Safety, and Service.

Preferred Qualifications:

Deep expertise in internal dosimetry and pharmacokinetic modeling for alpha and beta-emitting radiopharmaceuticals.
Experience in spectral or multi-energy CT imaging, including the development of virtual imaging phantoms and detector modeling.
Experience improving performance of medical physics workflows via:
GPU/accelerator optimization for real-time dose calculation.
Parallelization of Monte Carlo codes.
Experience applying AI/ML to medical imaging or therapy, including:
Deep learning for image reconstruction and denoising.
Predictive modeling for patient-specific treatment planning and toxicities.
Foundation models for medical image analysis.
Familiarity with clinical imaging standards (e.g., DICOM) and software frameworks like ITK, VTK, or 3D Slicer.
Experience with integrated multiscale modeling connecting cellular radiation damage to organ-level clinical outcomes.
Exposure to AI-enabled scientific workflows that couple physics-based simulation with data-driven clinical observations.

Special Requirements:

This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

Security, Credentialing, and Eligibility Requirements:

About ORNL:

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Environmental Data Science Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16401

Oak Ridge National Laboratory has multiple openings for an Environmental Data Science Engineer in Oak Ridge, TN, to apply advanced data science methods, tools, and techniques to the design, development, and implementation of data-driven solutions to help link advanced informatics and computer science to data management and distribution in Earth and Environmental sciences in support of DOE’s science, energy, and national security missions. Requires a Master’s Degree in Computer Science, Information Science or related field, and 1.5 years of full time, post degree experience developing scientific data management tools to manage a large volume of sensor and other sources. Experience must include: Working with frameworks such as D3.js, ExpressJS, and Node.js, Java 7/8, Spring Boot, Webservices, and Python; Developing geospatial web tools for advanced visualization and real-time data analysis; Working in a DEV/OPS research environment and a solid understanding of source control using Git or a similar version control systems; Applying big data technologies such as Cassandra, Spark, GraphQL, or others to analyze large and diverse environmental data. Also requires: Proven background in real-world computer programming applied to ecological and environmental science applications; Familiarity with High-Performance Computing (HPC); Demonstrated applied knowledge in databases such as PostgreSQL or MySQL; Demonstrable knowledge in programming languages such as Java and Python; Good communication skills in English (both oral and written); Desire to learn and adopt new tools and technologies as required by the projects; and Willingness to travel 3-4 times per year to national conferences. Occasional remote work within commuting distance is permitted. Apply via the following link: https://jobs.ornl.gov/job-invite/16401/ or email Woodysb@ornl.gov. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. For information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov. Relocation package may be available.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Control System Infrastructure Engineer (Oak Ridge, TN, US, 37830)

Requisition Id 16181

Overview:

The Controls Integration Group at the Spallation Neutron Source (SNS) is seeking a Control Systems Infrastructure Engineer II to support, maintain, and enhance the infrastructure that underpins the SNS Integrated Control System (ICS). The SNS ICS is a distributed control system based on the Experimental Physics and Industrial Control System (EPICS). It depends on reliable, scalable computing and networking infrastructure, along with robust software management and deployment practices. This position resides in the Controls Integration Group within the Control Systems Section of the Research Accelerator Division, Neutron Sciences Directorate at ORNL. The group develops fully integrated control system solutions to safely deliver highly reliable beam to SNS instruments in support of scientific research. Typical systems integrate PLC and FPGA hardware platforms within the EPICS framework.

As a member of the team, you will work closely with control system engineers and accelerator operators to support and evolve the computing infrastructure and software environment for the SNS Control System. The role requires independent judgment, initiative, and technical creativity, with a strong focus on hardware and virtual machine-based infrastructure as well as software lifecycle management in a high availability environment.

Major Duties and Responsibilities:

Support SNS accelerator operations by performing routine maintenance and resolving operational issues quickly and safely.

Maintain and upgrade control system hardware and software infrastructure including servers, virtual machines, EPICS Input/Output Controllers (IOCs), Operator Interfaces (OPIs) and networking.

Maintain EPICS services, including data archiving, alarming, and gateway services; monitor performance and plan upgrades as needed.

Monitor and analyze system health and resource utilization for critical infrastructure components, including IOCs, MicroTCA crates, OPIs, and EPICS services.

Administer configuration management tools to ensure consistent and repeatable deployments across IOCs, Servers and OPI systems.

Maintain accurate documentation, network diagrams, and as-built infrastructure records.

Ensure reliable backup and rapid restoration of operational data, IOC runtime configurations, logs, operator screens, and software repositories.

Perform quality assurance verification for commercial off-the-shelf and custom hardware.

Collaborate effectively with engineers, operators, and technicians across the organization.

Perform all work in accordance with SNS work control procedures, Environment, Safety and Health (ES&H), and Quality Assurance (QA) requirements.

This position primarily operates during standard business hours; however, periodic off-hours and weekend support is required to meet the 24/7 operational needs of SNS.

Basic Qualifications:

A BS degree in a relevant discipline (such as information technology, computer science, engineering, or project management), plus two or more years of relevant experience.

Demonstrated experience administering and configuring various operating systems in a large-scale distributed control system or similar operational environment.

Strong communication skills and the ability to collaborate effectively with engineers, scientists, and technical staff.

Preferred Qualifications:

Experience with at least one real-time operating system (e.g., Linux RT, VxWorks, or RTEMS).

Experience with embedded Linux systems.

Experience supporting databases, virtualization clusters, or enterprise storage systems.

Familiarity with cybersecurity frameworks, particularly NIST SP 800-53 and NIST SP 800-82.

Experience with EPICS-based control systems.

Exposure to infrastructure supporting AI/ML applications.

Experience with instrumentation and electronics platforms such as VME, MicroTCA, or PLC-based systems.

Familiarity with software configuration management tools in large, distributed environments.

Experience with virtualization technologies such as VMware.

Self-motivated, proactive, and effective in team-oriented environments.

Special Requirements:

Physical Requirements: Work involves some physical requirements and working conditions. As such, a pre-hire physical will be required after offer.

Visa sponsorship is not available.

Benefits at ORNL:  

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, and Employee Discounts. Relocation Assistance is available for certain positions.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.