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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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infrastructures.The research of these PhD positions will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity
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advanced motion control. Faculty research includes:•Electric Power & Energy Systems, renewable energy integration, smart grids, and microgrids•Power electronics with wide-bandgap semiconductor devices
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will be conducted as part of the EU funded SPICE (Smart Data Pipelines for the Cognitive Compute Continuum) project. Our PhD students are given the opportunity to work with some of the most advanced
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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) to extend driving range. Electric Vehicle Compliant Parking Lot Integrated PV (ePIPV) – coupling PV systems with EV charging infrastructure to reduce grid dependency, and support smart grid services
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on turning high-quality (smart meter, grid, or weather) data into actionable insights and better-informed decisions through advanced data analytics. When this energy data is shared, it can be exploited by
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smart grid services. To investigate these approaches, a consortium of 34 partners across 16 countries will develop solutions for various vehicle types (heavy-duty trucks with PV trailers, garbage trucks
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sciences, computer science) PhD close to completion in field of Power Systems, Smart Grids, Power Electronics and Control, or related discipline (upon PhD completion, will transition to Research Associate
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systems and cyber-physical environments. The lab includes autonomous robots, ABB robots with interchangeable grippers, distributed control systems, and testbeds for smart grids and real-time simulations