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our community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired
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Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization
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University. The Lizhou Fan group works on electrocatalysis, operando spectroscopy, and electrolyzer system optimization for sustainable energy conversion. The group focuses on understanding and
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for interdisciplinary research at the interface of energy systems, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific
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renewable energy. You will investigate quantum and hybrid quantum–classical methods for power system analysis and optimization, with emphasis on their practical performance and suitability for real
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excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy
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diverse energy actors (e.g. consumers, prosumers, utilities, and others). ODEON will be extensively validated in 5 demo sites, in Spain, Greece, France, Ireland, and Denmark (more info here: https
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Job Description DTU Electro invites applications for a PhD position in AI-driven optimization of optical links based on nano-lasers, within the Villum Investigator program "Power-Efficient Fiber
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optimization show promise in this regard. Yet, the deployment of AI for decision making in critical infrastructure like the energy sector introduces challenges related to safety, fairness, accountability
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program in electrical engineering, energy systems, computer science, data science, applied mathematics, industrial engineering, or a related field, and have demonstrated very good academic performance in