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-ceramic composites in close collaboration with a PhD student at the Biomaterials Engineering Group at ETHZ and the identification of process-structure-property relationships enabling the efficient design
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. The research will contribute to the area of neural input systems. Candidates ideally have a background in Computer Science, Electrical Engineering, or Robotics and prior experience with event detection
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intelligence and statistical modeling, we aim to generate profound insights. Unlike a traditional PhD in Computer Science or Mathematics, our research is highly applied, focusing on tailoring mobile technology
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tools and insights for the optimal design of policies that affect electric vehicle (EV) charging and the electricity system. The PhD student will contribute to the development of exciting new methods
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to connect empirical findings with current governance challenges. PhD Position 2 will focus on strategic spatial planning for biodiversity under biophysical and sociopolitical uncertainty, with particular
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of CRC, identifying novel prognostic biomarkers, and translating these findings into robust, interpretable models for risk stratification of CRC. Profile PhD in a relevant field such as Computational
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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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, quantum engineering, electrical engineering, photonics or related fields. Alternatively, a Master’s degree and 3+ years hands-on experience is also accepted. The candidate must thrive in
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial
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students conduct in the department. Profile The ideal candidate will possess: A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline, Experience in the analysis