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Requisition Id 16985 Overview: We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific
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. This researcher will focus on advancing secure, trustworthy, and efficient AI solutions for scientific applications by developing state-of-the-art sparse algorithms in matrices, tensors, and networks
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-enabled scientific workflows that address high-impact national challenges. Responsibilities include, but not limited to: Develop novel AI, machine learning, and knowledge-guided learning algorithms
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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thermal systems, controls, or AI/ML applications Experience developing and deploying reinforcement learning algorithms for real-time control applications Experience with hardware-in-the-loop (HIL) testing
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develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, and disseminate innovative results through publications and
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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in
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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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and porting of scalable science applications and algorithms for OLCF and other leadership computers. Debugging and tuning applications for high performance. Developing performance models of existing
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, algorithms, applications, compilers, runtimes, and system-level constraints. Work with project teams to formulate and evaluate novel research ideas, develop research software and prototypes, mentor students