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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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. Identifying and managing risks, including performing Monte Carlo simulations as needed. Managing change control processes. Preparing various status reports, including those based on Earned Value Management (EVM
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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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AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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the nation’s aspirations for nuclear energy development. ORNL, with FFESD at the lead, has world-class technical capabilities advanced nuclear reactor design, reactor and component simulation, development
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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 spanning
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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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, modernization, and integration of capabilities in nuclear materials development, irradiation experimentation, modeling and simulation, and post-irradiation examination (PIE). Key responsibilities include