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Sr. Research Scientist in Artificial Intelligence and Machine Learning

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Date: Feb 28, 2019

Location: Oak Ridge, TN, US, 37831

Company: Oak Ridge National Laboratory

Requisition Id 299 


Pay Band:  Band 4/Research, Senior Staff Member

Relocation:  Domestic and International relocation assistance is available



Oak Ridge National Laboratory is seeking research scientists in the areas of artificial intelligence (AI), machine learning (ML) and statistics.  Oak Ridge National Laboratories is a leader in computational and computer science, with unique strengths in high-performance computing and data analytics with applications to the physical and biological sciences. 


Specific areas of research interest include

  • Machine and statistical learning algorithms, including optimization and approximate algorithms that address issues in algorithmic complexity, online or continuous learning, encoding and transfer learning, and reinforcement learning,
  • Physics-informed AI, including the application of AI/ML to physical and biological sciences and the interface between AI and traditional modeling and simulation and theory,
  • Computational scalability and performance of AI/ML algorithms, including both the ability to use computing hardware efficiently and the scaling of algorithms and HPC implementations,
  • Uncertainty quantification, sensitivity analysis, validation, and explainability of AI/ML systems, particularly for high-consequence application areas, such as control systems, and
  • Statistics and data analytics, especially computational statistics and the ability to deal with sparse or missing data.

Major Duties and Responsibilities:

  •  Lead high quality, basic and applied research projects and programs in artificial intelligence and machine learning algorithm with applications to biological and physical sciences
  • Integrate research in AI/ML workflows and algorithms on high performance computing systems
  • Collaborate with internal and external researchers on a wide variety of AI/ML research and projects
  • Collaborate with application scientists inside and outside of the laboratory to advance the scientific mission of the group, laboratory, the Department of Energy and other sponsors
  • Interact with the appropriate program offices and other agencies to develop and maintain program funding for basic and applied research in relevant areas of AI and ML
  • Represent group-level work to review committees and outside bodies as appropriate,
  • Write peer-reviewed papers, technical reports, and proposals for internal and external release and represent the organization by giving technical presentations in large public forums
  • Mentor early career research staff, postdocs and students
  • Maintain membership in professional, academic, and research organizations.


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:


 Basic Qualifications:

  • A Ph.D. in mathematics, statistics, computer science or related area with 10+ years of research experience in AI or ML, outside of Ph.D.
  • This position requires at least 5 years of experience in program management and/or research management at a large research institution, or government entity.


Preferred Qualifications:

  • The ability to conduct independent and significant research and a demonstrated research capability with a publication record in AI/ML,
  • Experience developing new business,
  • Demonstrated ability to effectively interact with senior levels of client management and others involved in technical endeavors,
  • Demonstrated ability to write research plans and proposals and to project a vision for future research relevant to AI and ML,
  • A successful record of developing research partnerships and collaborative relationships with universities, industry, and research laboratories is necessary,
  • Experience in high-performance computing and software development,
  • The ability to communicate effectively in both verbal and written forms,
  • Flexibility in research assignments,
  • Ability to collaborate with scientists, engineers, and sponsors,
  • Experience in one or more engineering or science applications of AI/ML, and
  • Previous experience mentoring students and/or postdocs.


Benefits at ORNL:  UT-Battelle offers a quality benefits package, including a matching 401(k), contributory pension plan, paid vacation, and medical/dental plan options. Onsite amenities include a credit union, medical clinic, cafeteria, coffee stands, and fitness facilities.   


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



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.

If you have trouble applying for a position, please email

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.

Nearest Major Market: Knoxville

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