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diverse data sets, including trade, political, economic, and social metrics to identify global risks that impact sourcing strategies essential for achieving economic and climate objectives. Key
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economic implications of mineral extraction, refining, chemical conversion, recycling, and manufacturing processes. Working with Argonne researchers, government agencies, industrial partners, academic
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should have technical experience in vehicle (on road, offroad, rail or marine) modelling, systems analysis, techno-economic analysis of vehicle systems. Prior experience in carrying out simulations
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. (typically completed within the last 0-5 years) in computer science, applied mathematics, operations research, engineering, economics, or a related quantitative field. Demonstrated expertise in AI, machine
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modeling and techno-economic assessment as appropriate. The candidate will work independently under general guidance, collaborate effectively within a multidisciplinary team environment, and prepare