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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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accelerating fission energy development. These aspirations are founded on world-class technical capabilities in reactor design, modeling and simulation, licensing methodolgies, fuel fabricaiton and
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to use cases such as autonomous materials discovery, self-steering simulations, and adaptive experimental campaigns, in coordination with domain scientists and facility operators. Scientific Domain Support
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manufacturing and intelligent systems, biosecurity, transportation, modeling and simulation, and computing. Our multi-disciplinary research teams are passionate about discovery and innovation as we create science
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, biosecurity, transportation, modeling and simulation, and computing. Our multi-disciplinary research teams are passionate about discovery and innovation as we create science-based solutions to complex security
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into scientific impact. Examples of Focus Areas: Agentic AI for Science: Autonomous and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and
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development of approved improvements through a team of software developers. Support the WAP network of WAweb user through the transition of NEAT and MHEA to the use of the Energy-Plus simulation engine. Provide
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clustered computing software solutions to researchers who process large data sets, run simulations, and develop scientific code as part of their projects. Design, develop, optimize, and maintain scientific
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in multiscale and multifidelity simulation techniques (ab initio methods at different fidelity, machine learning tight-binding, machine learning force fields, phase-field modeling, and/or kinetic monte