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optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using
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on the integration of systems for optimized energy consumption, generation, and storage in the built environment at multiple scales. Our research focuses on efficiency, decarbonization, resiliency, affordability
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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computing Merit: Experience in estimating, measuring or optimizing energy and / or carbon emissions in networked systems Merit: Understanding of the environmental impact of hardware used for AI and / or cloud
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solutions and technologies for complex challenges in energy systems and power grid domains. Present research findings through seminars, journal articles, technical reports, and at conferences and workshops
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optimization problems—often NP-hard and extremely difficult to solve at scale. These problems arise in diverse, high-impact domains, including renewable energy management, healthcare resource allocation, and
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Requisition Id 14166 Overview: The Grid Interactive Controls Research Group (GICR) in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology
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possess a commitment to the ideals of this mission. Minimum Qualifications Completed a PhD degree (U.S. or foreign equivalent), in Electrical Engineering, Energy Engineering, or a closely related. Proven