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Field
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specifically on developing machine learning-based surrogates and emulators for the dynamics of power grids. This role involves creating advanced probabilistic models that capture the complex behaviors
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in AI-Driven Grid Flexibility Coordination and Energy Storage Integration, is open for appointment from 01.03.2026 to 31.08.2027 (18 months) or soon hereafter with possibility of extension. Your work
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At the Faculty of Engineering and Science, AAU ENERGY, a position as Postdoc in AI-Driven Grid Flexibility Coordination and Energy Storage Integration, is open for appointment from 01.03.2026
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or equivalent Specific Requirements PhD from Electrical Engineering Very good publication record Experience in Power System Simulation (distributed generation, smart grids, power system stability
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research on cyberphysical electric grid security, data-driven and AI-based power/energy management of electric grid, and electric grid resilience in Grid Resiliency Lab Job Related Minimum Required Education
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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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The Center for Energy, Environmental, and Economic Systems Assessment (CEEESA) works on innovative research to enhance the resilience, efficiency, and affordability of power grids. Advanced
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energy goals. ESIA also develops, deploy, and advance grid technologies that ensure a robust and secure U.S. grid transmission and distribution system. We collaborate with government agencies as
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other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description Grid Automation and
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for grid storage offers transformative potential for clean energy systems — yet uptake remains limited. This project explores why, and what policy, market, and governance conditions are needed to unlock