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Field
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description To alleviate grid congestion, traction grids can provide EV charging for zero-emission
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To alleviate grid congestion, traction grids can provide EV charging for zero-emission construction sites while traction-bus batteries can be repurposed as second-life energy storage for peak
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Requisition Id 16569 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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researcher in a multidisciplinary project on the stability and cyber-physical security of hyperscale data centers in future inverter-dominated power grids. The project is a collaboration across Electrical and
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electronic converters in transmission networks. HVDC interconnections, offshore grids, long underground cable systems and grid-forming technologies are fundamentally changing power system dynamics. Ensuring
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, data-driven and AI-based power/energy management of electric grid, and electric grid resilience in Grid Resiliency Lab Job Related Minimum Required Education and Experience Requires a Doctoral (Ph.D
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Computer Science (EECS)/Energy Systems Innovation Center (ESIC) to develop high-fidelity grid-forming inverter models and high-voltage direct current (HVDC) models, and investigate their impact on the power
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strawberry disease risk assessment at the national level using weather stations and gridded weather products. This is a 12-month, grant-funded, non-tenure-accruing position in the Agricultural and Biological
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scientific input to support the installation and operation of a new “prep room” for cryo‑EM sample vitrification; performing cryo-EM grid preparation; becoming acquainted with data‑collection workflows