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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
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on magnet recycling and as well as building efficiency materials. Test lithium salts recovered from brine solution in lithium-ion or lithium-air batteries- Use multiple types of techniques
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the processing-microstructure-property relationships in aluminum alloy systems. Perform the necessary chemistry and processing modifications to meet target alloy properties. Apply advanced characterization and
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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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written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a
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responses to warming, drought, and elevated CO2 (e.g., gas exchange, fluorescence, hydraulics, respiration, water potential, thermal tolerance) Trait synthesis at scale (e.g., using trait databases TRY, FRED
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/Responsibilities: Conduct research on deformation mechanisms and mechanical behavior of advanced structural alloys. Perform detailed microstructural characterization using SEM, EBSD, TEM, XRD, and related techniques
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choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security
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Requisition Id 16541 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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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms