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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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motivated Postdoctoral Researcher to join our Grid Planning and Analysis Center (GPAC). This position will focus on tackling critical optimization challenges in medium-term power system planning like
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resources and demonstrated ability in applying numerical techniques to water-energy research. Strong candidates will have advanced knowledge and skills relevant to one or more of the following areas: River
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. Additionally, preference will be given to applicants with: *Domain knowledge in national energy-system studies, power systems, renewable energy grid integration, and energy-using technologies and processes in
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into the power grid. The successful candidates will support projects on the planning, operation, and control of future power grids accounting for renewables and electrification to achieve clean energy goals using
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-system studies, power systems, renewable energy grid integration, and energy-using technologies and processes in transport, buildings, and industry sectors. *Experience with managing, processing and
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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
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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 expertise in