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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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studying how wireless sensing and AI interact in real systems. The work will be carried out in close collaboration with researchers in wireless communications, sensing, machine learning, and robotics, with
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optimization strategies to improve Electrolyzer performance, efficiency, flexibility, and economic operation under variable electricity supply and renewable-energy integration. Collaborate with academic and
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architecture search to generate a family of related models. An AI service can then trade accuracy for lower energy and carbon at runtime, picking the right model for the current grid status. You will be
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technologies Research Field Computer science » Computer systems Computer science » Computer hardware Researcher Profile First Stage Researcher (R1) Application Deadline 11 Aug 2026 - 21:59 (UTC) Country Denmark
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main supervisor, including writing a project proposal and qualifying activities Contribute to your main supervisor’s current research Design, collect data, and contribute to analyses of a smaller pilot
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their skills and experience. Current priority areas for A&A are: State preparation techniques Schemes for extracting information and observables from quantum computation Noise modelling of logical quantum
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work