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Postdoctoral Research Associate - HPC and Al

Date: Nov 25, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 9366 


Oak Ridge National Laboratory 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.


We are seeking driven and promising Postdoctoral Research Associate(s) who will support the Analytics and AI Methods at Scale (AAIMS) Group in the National Center for Computational Sciences (NCCS) Division, Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL).  The Postdoc(s) will work in the broad intersection area of High-Performance Computing (HPC) and AI.


Examples on areas of research interest include but not limited to:

  • Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently.
  • Data parallelism, model-parallelism, collective communication patterns and strategies for large-scale, distributed machine learning using frameworks such as PyTorch and TensorFlow.
  • Operational data (Power, energy, CPU/GPU utilization, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation
  • AI algorithms for handling sensitive data using methods such as Federated Learning, Differential Privacy, and Secure Multiparty Computing, among others.
  • Data analytics pipelines from the Edge to Exascale.
  • Visualization of large-scale HPC/AI discovery campaigns.


The NCCS and its 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/Responsibilities: 

  • Collaborate with internal and external researchers on a variety of large-scale data analytics, and/or AI/ML-related research and projects
  • Present and report research results, publish scientific results in peer reviewed conferences/journals in a timely fashion


Basic Qualifications:

  • A PhD in Computer Science, Computer Engineering, or a related field completed within the last 5 years


Preferred Qualifications:

  • Solid record of productive research demonstrated by publications in peer-reviewed conferences or journals, and/or open-source software 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


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


Instructions to upload documents to your candidate profile:

  • Login to your account via
  • View Profile
  • Under the My Documents section, select Add a Document


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.


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