Postdoctoral Research Associate - AI and Scientific Machine Learning

Date: Dec 1, 2024

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 13828 

Overview:  

We are seeking qualified applicants for a postdoctoral position who will focus on in several areas of research, including data analytics, artificial intelligence, machine learning, optimization, scalable algorithms, uncertainty quantification, computational statistical physics. This position resides in the Data Analytics and Machine Learning Group in the Mathematics in Computation Section, Computer Science and Mathematics Division, Computing and Computational Science Directorate, at Oak Ridge National Laboratory (ORNL).  

 

Applicants will be expected to participate in research programs in fundamental on AI and machine learning as well as AI/ML applications on scientific and engineering problems. 

 

As a U.S. Department of Energy (DOE) Office of Science 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 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

 

Major Duties/Responsibilities: 

The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists (both theoretical and experimental) conducting basic and applied research in support of the Laboratory’s mission. Specific responsibilities include:

 

  • Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications.
  • Delivery and support of mathematical technologies for various scientific disciplines and applications.
  • Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations.
  • Active participation in professional organizations.
  • Deliver 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:

  • PhD in mathematics, statistics, computer, computational sciences or a field relevant to the job duties of this position completed within the last five years.
  • Demonstrated written and oral communication skills. 
  • Effective interpersonal skills.

 

Preferred Qualifications:

  • Expertise in scientific computing and numerical analysis
  • Expertise in scientific machine learning and/or artificial intelligence
  • Experience in the design and implementation of scalable numerical algorithms on HPC architectures and within a team environment.
  • Experience working with modern machine learning software tools and frameworks.
  • 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.

 

Two letters of references are required. Please submit 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.

 

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.

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.


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.


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