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Requisition Id 16797 Overview: Oak Ridge National Laboratory (ORNL), the largest science and energy laboratory within the U.S. Department of Energy, conducts cutting‑edge basic and applied research
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Requisition Id 16720 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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. This position resides in the Manufacturing Systems Analytics group in the Digital and Secure Manufacturing Section, Manufacturing Science Division, Energy Science and Technology Directorate (ESTD) at Oak Ridge
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methods. Additionally, you will develop/refine finite element and numerical analysis models to portray shear strength response as a function of temperature, and to attempt to ultimately reconcile those
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analytical and modeling approaches to interpret experimental results. Collaborate with internal and external research teams to define and advance research directions. Present research findings and publish
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computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In
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Requisition Id 16687 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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manufacturing workflows. This position resides in the Advanced Machining and Machine Tool Research Group in the Manufacturing Science Division, Energy Science and Technology Directorate, at Oak Ridge National
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complex magnets via interpretable machine-learning models, and develop improved AI models that can accelerate prediction of new synthesizable magnet candidates with high energy density and critical
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. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and open quantum systems