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Postdoctoral Research Associate 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 301 


Pay Band:  Postdoc
Relocation:  Domestic and International relocation services are available



 Oak Ridge National Laboratory is seeking postdoctoral research associates in the areas of artificial intelligence (AI), machine learning (ML) and statistics.  Oak Ridge National Laboratory 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/Responsibilities:


  • Perform basic and applied research 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,
  • Author peer reviewed papers, technical papers, reports and proposals.


Basic Qualifications:

  • A Ph.D. in mathematics, statistics, computer science or related area with an education and a research track record in AI or ML.


Preferred Qualifications:

  • The ability to conduct independent and significant research and a demonstrated research capability with a publication record in AI/ML,
  • Experience in high-performance computing and software development and
  • 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 science or engineering applications of AI/ML, and



Other Information:

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.


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:


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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