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the BedrettoLab, evaluation of seismic sensors (e.g., different types of seismometers as well as distributed acoustic sensing technology) Design and Installation of a Multi-Sensor Monitoring Network in the Hondrich
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The power system is changing, largely driven by the energy transition and climate change. The large shares of renewables, both centralized and distributed, are posing new challenges to system
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opportunities but requires robust biological protocols and stable bioelectronic interfaces. In parallel, biomolecules and their complexes can be probed and controlled using CMOS micro-/nano-electronics, enabling
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, particularly with respect to fouling and moisture distribution. Understanding these parameters is essential for predicting long-term track performance and planning maintenance interventions. Project background
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CS Practical knowledge of RL and IL (e.g., behavioral cloning, inverse RL, dealing with distribution shifts) with applications in (industrial) robotics Hands-on experience with robotics or other
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development for quantum key distribution and (2) TFLN circuit development for quantum enhanced precision measurements. This PhD project aims to further advance the nanofabrication of TFLN photonic circuits
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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during field measurements, capture high-resolution imagery of cloud droplets and ice crystals to determine their size distributions and types. The resulting large datasets (often several terabytes
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workflow Developing seismic monitoring strategies for CO₂ injection, including the design and analysis of surface-based and borehole distributed acoustic sensing (DAS) measurements in preparation
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal