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Electrolyzer performance, efficiency, flexibility, and economic operation under variable electricity supply and renewable-energy integration. Collaborate with academic and industrial partners and disseminate
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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the ambition of producing contributions relevant to leading venues in both the communications and AI communities. Your competencies We are looking for a candidate with a Master's degree in electrical engineering
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Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
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rooted in process engineering while also addressing the interaction between Power-to-X plants and the electrical grid. You will contribute to interdisciplinary research spanning process engineering, power
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research group or center you would like to join (max. 1,000 words). A current curriculum vitae (e.g. using the EU model), clearly stating your educational background, experience, techniques, language skills