Oak Ridge National Laboratory
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Postdoctoral Research Associate in HPC and AI for Science at Oak Ridge National Laboratory Oak Ridge National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Oak Ridge National Laboratory

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About this position
Oak Ridge National Laboratory (ORNL), through the Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS), is recruiting a Postdoctoral Research Associate in HPC and AI.
This opportunity sits at the intersection of high-performance computing, artificial intelligence, natural language processing, and AI for Science. The research themes include large-scale AI model development, instruction tuning, human-in-the-loop reinforcement learning, privacy-preserving and safe AI, distributed machine learning, and AI for operations such as event forecasting, predictive maintenance, and corrective actions. The role also emphasizes scalable, energy-efficient, trustworthy AI and work with large language models.
The position is based at Oak Ridge National Laboratory in Oak Ridge, Tennessee, United States. ORNL highlights its exascale computing environment, including the Frontier supercomputer, and a collaborative research setting connected to national laboratory missions in energy, environmental, and security challenges.
Eligibility highlights: applicants must hold a Ph.D. in Computer Science, Computer Engineering, or a closely related field. Preferred experience includes deep neural networks, PyTorch or similar frameworks, Python, NLP pipelines, machine learning tools, and a strong publication record or open-source software contributions. Strong communication skills, independence, and teamwork are also valued.
Funding and benefits: this is a paid postdoctoral appointment with competitive pay and benefits. The posting mentions medical, retirement, flexible work hours, relocation assistance, and other employee benefits, but does not provide a salary figure.
Application: apply via the ORNL jobs portal. The posting requests three letters of reference, which can be uploaded with the application or emailed to recruiting@ornl.gov with the position title and number in the subject line. The posting states the role will remain open for at least 5 days and then close when a qualified candidate is identified and/or hired.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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