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Postdoctoral Research Associate - Artificial Intelligence and Machine Learning

Date: May 28, 2021

Location: Oak Ridge, TN, US, 37831

Company: Oak Ridge National Laboratory

Requisition Id 4261 

Overview:  The Artificial Intelligence (AI) Initiative at the Oak Ridge National Laboratory (ORNL) is seeking an outstanding postdoctoral candidate in the fields of AI and machine learning (ML) with expertise in robust AI/ML, uncertainty quantification (UQ) and probabilistic machine learning.  The successful candidate will become part of ORNL AI team conducting research in AI and its applications in a wide range of scientific and engineering application areas. 


Major Duties/Responsibilities:

  • Work with the AI researchers to develop novel machine learning methods and models in broad areas including UQ, probabilistic machine learning or robust AI/ML.
  • Develop computationally efficient and scalable algorithms, including the scaling of algorithms and HPC implementations.
  • Delivery and support of mathematical, statistical, and computational technologies for various scientific and engineering disciplines and applications.
  • Collaborate with a diverse team of computational and domain scientists, both within the AI initiative and across ORNL.
  • Publish research in peer-reviewed journals and present results at national and international conferences.


Basic Qualifications:

  • A Ph.D. degree in mathematics, computer/computational sciences, statistics, computer engineering or a related field within the last five years.

Preferred Qualifications:

  • Strongly motivated to perform and publish leading edge research.
  • Collaborative research capabilities as demonstrated by existing peer reviewed publications and technical proposals.
  • Knowledge in general AI topics and computational statistics
  • Knowledge in technical areas such as UQ (e.g., parametric-, non-parametric Bayesian data analysis), probabilistic machine learning and/or robust ML.
  • Experience with data analysis for AI packages.
  • Experience in the design and implementation of scalable algorithms on HPC architectures.
  • Research experience in foundational AI/ML methods.
  • Experience in high-performance computing (HPC), particularly as applied to AI/ML algorithms and probabilistic models.
  • Excellent verbal and written communication skills.


Questions: Please contact Rick Archibald:, David Womble:, or Frank Liu:


Additional 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.


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