Oak Ridge National Laboratory
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Postdoctoral Research Associate in AI-Accelerated Discovery of Permanent Magnets Oak Ridge National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding available
Country
United States
University
Oak Ridge National Laboratory
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About this position
Oak Ridge National Laboratory (ORNL) is recruiting a Postdoctoral Research Associate for AI-accelerated discovery of permanent magnets in the Nanomaterials Theory Institute within the Theory and Computation Section at the Center for Nanophase Materials Sciences. The project sits at the intersection of condensed-matter physics, materials science, magnetic materials, electronic structure theory, and artificial intelligence / machine learning.
The research aims to build autonomous materials-discovery workflows on HPC platforms that can learn structure-chemistry-property relationships in complex magnets, develop interpretable cross-modal AI/ML models, and accelerate the prediction of new synthesizable permanent magnet candidates with high energy density and critical temperatures. Methods mentioned include DFT and post-DFT calculations, machine-learning surrogates, generative AI, transformers, diffusion models, physics-informed neural networks, symbolic regression, reinforcement learning, Monte Carlo tree search, causal ML, and machine-learning force fields for spinful systems.
The position involves close interaction with experimental programs to synthesize new permanent magnets and collaboration with scientists across CNMS, MSTD, and other ORNL divisions. The expected supervisors/collaborators named in the post are Addis Fuhr and P. Ganesh.
Eligibility: applicants must hold a PhD in Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related discipline, completed within the last five years. The postdoc must finish all degree requirements before starting. Preferred experience includes advanced physics-informed AI, machine learning for materials discovery, generative tools, HPC, and a publication record.
Funding and appointment: the appointment is up to 24 months with possible extension, subject to performance and funding availability. ORNL notes competitive pay and benefits, but no stipend amount is listed.
How to apply: submit the application through the ORNL jobs portal. Provide three letters of reference either directly in the application or by email to [email protected] with the position title and number in the subject line. The posting remains open for a minimum of 5 days and closes 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.
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