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advancing the knowledge of sodium-ion battery technology to join the energy storage team in the Department of Electrical Engineering, Division of Electric Power Engineering. The position will include
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. If we intend to understand what is the statistical structure of the electric grid that is coming, we need to confront the dynamism of the network and discard the widespread linearized static model
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to develop resilient solutions for the future. About the research project The rapid growth of electric vehicles (EVs) is transforming road transport but also creates new challenges for both
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://arxiv.org/abs/2603.06760 . A potential target application is the design of model gliders to compete in FAI competitions such as https://www.fai.org/page/f5-electric-flight . Profile Potential candidates are
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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-year Postdoctoral position focused on modeling the flexibility potential of electric vehicle (EV) charging clusters and exploring their synergies with distributed renewable energy sources
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-scale optical atomic clocks, accelerometers, gravimeters, magnetometers, and electric field imagers to support GPS-free positioning, navigation, and timing (PNT) technologies. Our goal is to develop end
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coupling. The postdoctoral research will examine how ionospheric currents and electric fields affect conductivity, chemistry, and energy deposition, and how optical phenomena such as enhanced aurora, Strong
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performed in the areas of Systems and Control, Communications, Signal processing, Electric Power Engineering, Antennas and Optical Networks, and Biomedical engineering. We work with sustainable and smart
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to develop and apply quantum sensors to problems in biophysics. Quantum sensors exploit the coherence and state-dependent response of individual quantum systems to detect magnetic, electric, and