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approaches, which cannot fully access the experiences, perceptions and behaviors of energy community members with smart energy technology interventions and related social dynamics. This PhD research project
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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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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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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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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