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Requisition Id 15638 Overview: Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver
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, friction stir welding/processing and/or ultrasonic solid-state joining/processing Excellent hands-on skills in manufacturing process sensing and monitoring, especially in welding and allied fields such as
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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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process-based modeling of hydrologic or land surface processes. The WSMG group develops advanced surface/subsurface integrated hydrologic and reactive transport models, works with other groups to compare
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maintaining or improving image quality. These advances will directly support operando studies of solid‑state batteries and porous electrodes and accelerate the development of predictive transport and
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, additive manufacturing, solid-state processing (rolling, extrusion, wiredrawing etc.), mechanical properties (creep, fatigue, tensile properties), microstructural analysis, thermal/electrical properties will
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datasets, geospatial and remote sensing tools (e.g., Google Earth Engine). Grid modeling and planning, either through development of bespoke capacity expansion and/or production cost models, or application
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strong background in quantum computing, computational physics, and a solid understanding of condensed matter quantum many-body theory. This position resides within the Quantum Computational Science group
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interesting ground states and behaviors. Lead the writing of research papers resulting from your work with support from the group and collaborators, and present research results at scientific conferences
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mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major