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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 16 days ago
PhD in electrical engineering, power systems or a closely related field, obtained or close to completion. A solid background in power system dynamics and electromagnetic transient (EMT) simulation
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 16 days ago
Power Grid (IEPG) group works on the future of our power system. Job requirements We are looking for candidates who bring: A PhD in electrical engineering, power systems or a closely related field
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 1 month ago
via gas-fuelled combined heat and power (CHP) plants, which can operate flexibly and thereby also provide grid balancing. However, whether the sector's pivotal role as a flexible energy system asset
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low-power architectures for AI vision at the edge. AI4IV is offering a PhD scholarship jointly with FBK. The objective is to develop high-efficiency, silicon-native solutions that bridge the gap
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 24 days ago
technologies. The co-design and optimization of these building blocks are essential for achieving breakthroughs in data rate, power efficiency, scalability, and overall system cost. This PhD project focuses
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learning frameworks such as PyTorch, PyTorch Geometric, or similar tools is an advantage Experience with power-system tools such as pandapower, PyPSA, PowerModels, or similar frameworks is an advantage
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Areas Candidates are encouraged to apply if their research expertise focuses on smart grids, with interests in advanced grid operation and control, optimized power flows, future power system modelling
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encouraged, including with neighbouring sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation. Our team currently
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power system planning and operation. The dual goal is to tap into the current capabilities of Quantum Computing while also streamlining the future exploitation of further advancements in the field
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stochastic challenges of electrical power system planning and operation. The dual goal is to tap into the current capabilities of Quantum Computing while also streamlining the future exploitation of further