Share this Job

Postdoctoral Research Associate - AI/ML and Quantum HPC Systems

Date: Mar 17, 2023

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 9553 


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 a Postdoctoral Research Associate who will support the Technology Integration Group in the National Center for Computational Sciences (NCCSD), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL). The Postdoctoral Research Associate will work in applied AI/ML technologies for large-scale high-performance computing (HPC) and quantum computing (QC) systems. The candidate will be able to contribute to one or more of the following areas: AI/ML, large-scale applications, and optimization solutions for both QC and HPC systems. NCCS is a leader in computational and computer science domains, with signature strengths in at-scale high-performance computing, quantum computing, and simulations with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world, such as Frontier. This position is in the Technology Integration Group as a part of Advanced Technologies Section within NCCS. We are an inclusive environment that welcomes a diversity of creative, scientists and engineers with an eagerness to learn.


Major Duties/Responsibilities: 

  • Collaborate with internal and external researchers on a wide variety of AI/ML and HPC and QC research and projects.
  • Collaborate with scientists outside of the laboratory to advance the scientific mission of the group, laboratory, the Department of Energy, and other sponsors.
  • Architect, deploy and performance tune quantum computing models on large-scale HPC and QC hybrid systems.
  • Integrate and deploy algorithms in AI/ML for application workflows and large-scale HPC and QC systems
  • Develop quantum machine learning (QML) algorithms for optimizing multi-state metamaterial design using AI/ML workloads on large-scale HPC and QC systems.
  • Collaborate with highly diverse and multidisciplinary teams to develop novel quantum and quantum-inspired algorithms and verify, validate, and benchmark developed algorithms on available hardware.
  • Deliver toolkits and new capabilities that execute on ORNL’s leading computational infrastructures
  • Lead and collaborate in authoring peer reviewed papers, technical papers, reports.


Basic Qualifications:

  • A PhD in computer science/engineering, mathematics, statistics, domain science area, or a related field completed within the last 5 years
  • A strong publication and research track record in data science applications, AI/ML, and HPC and QC systems.


Preferred Qualifications:

  • The ability to work independently and develop and deploy data science methods at scale
  • Experience in high-performance computing and quantum computing software development
  • Ability to collaborate with scientists, engineers, and sponsors
  • 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