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We are seeking a highly motivated and innovative researcher working at the interface of modeling complex system and AI to join our team developing Large Language Models (LLM) based agentic code
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that focus on improving Li-ion battery, critical materials supply chains, and other concepts using electrochemistry. Position Requirements PhD in Chemistry, Chemical Engineering or Materials Science (those
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, TRITON, ANUGA, etc.). Understanding of hydrologic and hydrodynamic processes and coupled modeling. Experience in large-scale hydrologic and hydrodynamic modeling, calibration techniques, and data
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collection of cutting-edge hardware. Position Requirements Required Skills: Recent or soon-to-be completed PhD (typically completed within the last five years) 0-5 years of experience in computer science
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estimates critical to materials design. In this role you can expect to: Work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National
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Provide support to the Advanced Mobility Technology Research Group within the Transportation and Power Systems Division in developing high fidelity on-road data collection hardware and administering
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projects, the postdoctoral appointee will have the opportunity to work on that focus on improving Li-ion battery or critical materials supply chains. Position Requirements PhD in Chemistry, Chemical
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) on HPC systems Skilled in data analysis, statistics, and visualization, especially on large datasets. Knowledge of developing flood observation training datasets from multiple sources. Experience in
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to run large-scale distributed computations, connect large scale scientific instruments with modern computing environments, and integrate distributed data sources, all with the goal of greatly increasing
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conducts data analysis related to energy and power systems, with emphasis on the following areas: (1) electricity market analysis. (2) renewable energy integration; (3) energy storage Supports