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Oak Ridge National Laboratory

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Postdoctoral Research Associate in AI, CFD, and FEM for Nuclear Energy Systems Oak Ridge National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral appointment initially for up to 24 months, with possible extension based on performance and funding availability. ORNL offers competitive pay and benefits; relocation assistance is available for certain positions.

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Country

United States

University

Oak Ridge National Laboratory

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Chemical Engineering
Materials Science
Artificial Intelligence
High Performance Computing
Multiphysics Simulation
Physics
Finite Element Analysi
ML

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About this position

Oak Ridge National Laboratory (ORNL) in the United States is recruiting a Postdoctoral Research Associate in AI, computational fluid dynamics (CFD), finite element methods (FEM), and nuclear energy systems.

The position sits in the Nuclear Energy and Fuel Cycle Division, within the Multiphysics CFD Applications group, and focuses on developing, qualifying, and deploying AI agents and models, CFD simulation codes, and FEM-based tools for fission and fusion applications.

Research topics include next-generation CFD methods, large-scale simulations on high-performance computing platforms, turbulence and heat transfer modeling, magnetohydrodynamics, tritium transport in fusion devices, reduced-order calibration, machine learning, Bayesian calibration, verification and validation, uncertainty quantification, and agentic workflows for scientific computing.

Applicants should have a PhD (or equivalent experience) in nuclear, mechanical, or chemical engineering, engineering physics, or a related field completed within the last 5 years. Required technical skills include Python, C/C++, CFD code development, finite element methods, parallel Linux computing, GitHub or similar tools, and visualization tools such as ParaView. Experience with OpenFOAM, Nek5000, STAR-CCM+, ANSYS, COMSOL, or fusion engineering codes such as FESTIM, VertexCFD, and OpenMC is preferred.

The appointment is initially for up to 24 months, with possible extension depending on performance and funding. ORNL offers competitive pay and benefits, and relocation assistance may be available for certain positions.

Apply via the ORNL jobs portal. Three letters of reference are required and may be uploaded with the application or emailed to [email protected] with the position title and number in the subject line.

Funding details

Postdoctoral appointment initially for up to 24 months, with possible extension based on performance and funding availability. ORNL offers competitive pay and benefits; relocation assistance is available for certain positions.

What's required

Applicants must have a PhD or equivalent experience in nuclear, mechanical, or chemical engineering, engineering physics, or a related field completed within the last 5 years. Required experience includes Python, C, and/or C++ programming; demonstrated use and extension of CFD codes for nuclear or similarly complex thermal energy systems; familiarity with open-source CFD codes such as OpenFOAM or Nek5000 and/or commercial codes such as STAR-CCM+, ANSYS, or COMSOL; knowledge of finite element simulation methods; and experience with parallel Linux computing platforms, job submission scripts, GitHub or similar repository tools, and parallel visualization software such as ParaView. Preferred experience includes agentic workflows, GPU computing, AI methods for CFD/FEM, multiphysics code integration, and fusion engineering codes such as FESTIM, VertexCFD, or OpenMC. Strong written and oral communication skills and the ability to work independently and collaboratively are also preferred.

How to apply

Apply through the ORNL jobs portal using the provided application link. Submit three letters of reference with your application or have them emailed to [email protected] with the position title and number in the subject line. Upload documents in the candidate profile under My Documents.

More information can be found here

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