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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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the computational task: first-principles active-site descriptor models, high-throughput screening with machine-learned interatomic potentials, and a dedicated catalysis database. This position is ideal for a
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DeepMD, NEXMD, i-PI, MixPI, NWChem, CP2K, or comparable packages. Experience with GPU acceleration, distributed training, high-performance computing systems, or C/C++ scientific software development
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on their research background, interests, and project needs. This position will also provide opportunities to pursue complementary independent research aligned with the scientific priorities of either program in broad
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. Department of Energy’s ESS-DIVE repository. The DOE Biological and Environmental Research (BER) program produces uniquely valuable datasets increasingly used in AI/ML, but many are not AI-ready due
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, gridded hydrologic and environmental datasets (e.g., NetCDF, Xarray) Experience, or strong willingness to learn, working with large global models and high-performance computing Strong oral and written
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scanner with high gradient performance are also available. With strong interdisciplinary links between Radiology and various campus and clinical departments, the lab provides a unique opportunity to work
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Apply now to Postdoctoral Scholar - Agrivoltaics systems analysis and modeling Job #JPF03056 Environmental Studies Program / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC