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adopts a qualitative exploratory research approach involving longitudinal case studies and participatory action research (PAR) in a set of use cases with energy community projects ranging from smart grid
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-Physical Systems (CCPS), such as smart grid and industrial robotics. The successful candidate will investigate advanced 6G communication and computing orchestration schemes to meet the end-to-end Quality
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on intelligent 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
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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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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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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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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