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Field
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integrating power electronic converters and electrical machines we can use common structures and systems to greatly reduce, material usage and energy consumption. Through a multidisciplinary research approach
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integrating power electronic converters and electrical machines we can use common structures and systems to greatly reduce, material usage and energy consumption. Through a multidisciplinary research approach
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lifetime under realistic operating conditions. The research will support improved insulation design and qualification for reliable next-generation electric motors, contributing to safer, higher-performance
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on electrical and calorimetric efficiency measurements. Choose the research direction that fits you: PhD 1 on Wideband current sensors has the primary emphasis of: electromagnetic sensor design
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services (fast frequency response, voltage control, etc.) were not designed to handle at scale. The project will characterize current and benchmark Nordic/EU frameworks, develop spatially/temporally resolved
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Grant Agreement No. 101312169. Working tasks: The PhD-project DC14 focuses on the development of an assisting tool for electrical discharge machining (EDM) to gain deeper knowledge on machining states and
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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(neural networks, model training and evaluation). Graph neural networks (GNN) or other current architectures (e.g. transformers). Causal inference or computer networks. Interpretability of AI (mechanistic
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of Electrical Engineering at TU/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration
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at system level. In this PhD project, you will develop the measurement and analysis methods needed to make these environments observable. You will design and validate a cost-effective, synchronised multi-node