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or similar tools) Initial experience with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds
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velocity changes at selected locations with the introduction of unsupervised machine learning and study the interaction of mass balance changes (crustal stress changes) and geohazards such as rain-induced
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project on phase-field modeling of fracture in concrete. The specific goals of the PhD project will be finalized after the selection procedure in collaboration with industrial partners. Job description You
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab is looking for a PhD student in Human-Computer Interaction. The project will focus on input detection from sensor signals (e.g
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and original surveys with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers and practitioners face. We collaborate with a nonprofit
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energy storage function. The targeted chemistry spans organic molecules, transition metal complexes and carbon nanomaterials. Job description The foci of the PhD projects are to: Design and execute new
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100%, Zurich, fixed-term The research group of Prof. Simonov at ETH Zurich is seeking a motivated PhD candidate interested in developing computational approaches for understanding disorder in