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supports the research on energy security and resilience of the power grid at the Energy Department (DOE) through advancement of modeling, simulation, and real-time monitoring of the power grid, including
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. Related fields, including hydropower and power grid modeling, hydraulic engineering, and sediment transport. The successful candidates must demonstrate an ability to work independently, evidenced by
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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Materials & Manufacturing Technology Office (AMMTO) and Industrial Technologies Office (ITO) and cover the topics like smart manufacturing, additive manufacturing, carbon fiber and composites, energy-water
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy