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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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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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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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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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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more