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tools for tritium transport simulations in fusion devices. Support coordinated multi-physics simulations of fission reactor core, fusion device blankets, and other system components. Develop reduced-order
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for creating integrated autonomous experimental synthesis and characterization cross-facility agentic-AI platforms that allow real-time guidance and control of these multi-modal experiments for targeted
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targeted properties using advanced concepts such as classifier free guided diffusion models, transformers with multi-headed attention, physics-informed neural networks, materials foundational models
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degradation phenomena of nuclear reactor fuel cladding and core internal materials. Strong materials characterization skills are required. This position resides in the Fuel Cladding and Core Internals (FCCI
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evaluate novel chelators for radioactive s-, p-, and f-block metal ions. Independently execute and troubleshoot complex, multi-step organic syntheses on the multi-gram scale, including reaction
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, multi-core CPUs, advanced computing (e.g., QPUs). Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in
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workshops and conferences and publish key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists
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workshops and conferences and publish key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications
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-based planning principles and frameworks that can be applied to various urban environments. Monitor and evaluate multi-energy-system integration solutions to ensure they comply with regulations and