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framework for driven and open quantum systems. Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. Experience in analyzing data from
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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of correlated quantum materials driven far from equilibrium, enabling discoveries into phenomena such as entanglement evolution, transient states and dynamical phase transitions in quantum spin and itinerant
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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collaborations with researchers across DOE laboratories, academic institutions, and partner agencies to expand the applications of AI-driven coastal wetland modeling to broader environmental challenges. Safety and
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for CT. Major Duties/Responsibilities: Lead research on sparse-view and limited-angle CT algorithms for scientific and industrial applications. Develop and apply ML/AI-driven computational imaging methods
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safety and risk management needs at scale. Key research areas include AI-driven Risk Analysis, where the focus is on the research and development of large-scale language models and agentic systems
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials