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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi-timescale optimization, and
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Phd/doctoral Konstanz, Germany Apply Universität Konstanz Department of Mathematics and Statistics Universitätsstraße 10 78457 Konstanz Germany Keyboard shortcuts Map data ©2026 Map data ©2026 Terms
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PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of Electrolysis Systems Apply Vacant position PhD Stipend in Digital Twin Modelling and Multi-Timescale Optimization of
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optimization of communications, security, and computation in resource-constrained architectures with an emphasis on semantic and context aware communications. The post concerns the study of semantic
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electrochemical system optimization. The PhD student will work on the design, characterization, optimization, and mechanism investigation of catalysts as well as electrolyzer configurations and catalyst
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will be paid to the development of robust and adaptive control strategies capable of operating under variable environmental conditions. The optimization of energy flows between renewable energy
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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
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members. These are spread over about 20 research teams. The research for this PhD position will be conducted in the IDLab research cluster on Intelligent Wireless Networking ( https://idlab.ugent.be
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 12 days ago
complex systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern