Oak Ridge National Laboratory
6 days ago
Postdoctoral Research Associate in AI Models for Power Grid Systems Oak Ridge National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral appointment for up to 24 months with potential extension, subject to performance and availability of funding. ORNL offers competitive pay and benefits; no stipend amount is stated.
Country
United States
University
Oak Ridge National Laboratory
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About this position
Oak Ridge National Laboratory (ORNL) is hiring a Postdoctoral Research Associate in AI models for power grid systems within the Computational Coupled Physics Group, Computational Sciences and Engineering Division.
The project focuses on developing, scaling, and applying artificial intelligence and deep learning methods for grid modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources.
Applicants should have a recent PhD in computer science or an AI-related field, with strong experience in scalable deep learning, distributed training or inference, HPC workflows, Linux, bash, Git, Python, scalable data management, and production-quality scientific software. Preferred background includes graph neural networks, electrical engineering, power systems, grid simulation, and tools such as MATPOWER, PSS/E, or PowerModels.
The appointment is for up to 24 months with possible extension, depending on performance and funding. ORNL offers competitive pay and benefits. Candidates must submit a detailed cover letter and three reference letters. The position is based in Oak Ridge, Tennessee, United States, and will remain open for at least 5 days until filled.
Funding details
Postdoctoral appointment for up to 24 months with potential extension, subject to performance and availability of funding. ORNL offers competitive pay and benefits; no stipend amount is stated.
What's required
A PhD in computer science or an AI-related field completed within the last 5 years is required, and all degree requirements must be completed before starting. Applicants should have demonstrated expertise in scalable deep learning, distributed training or large-scale inference with frameworks such as PyTorch, high-performance computing on multi-node CPU/GPU clusters, scalable data management for AI/ML workflows, SLURM and PBS job submission scripts, Linux, bash scripting, Git, Python, reproducible software environments, advanced Python software development, deep learning algorithm design, object-oriented programming, and modern software engineering practices. Strong written and oral communication skills, a publication record, and interpersonal skills are expected. Preferred experience includes graph neural networks, electrical engineering or power systems, optimal power flow, grid simulation tools such as MATPOWER, PSS/E, or PowerModels, and collaborative research with version control, testing, documentation, and continuous integration.
How to apply
Submit the application through the ORNL jobs portal and include a detailed cover letter describing your experience relative to the duties and qualifications. Also submit three letters of reference, either uploaded with the application or emailed to [email protected] with the position title and number in the subject line. If needed, contact [email protected] for application help.
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