57 software-engineering-model-driven-engineering-phd-position PhD positions in Switzerland
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -PHD [#21542] Position Title: Position Type
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in an international and interdisciplinary research environment. Our offer We offer a fully funded PhD position at Empa, the Swiss research institute for materials science and technology to conduct
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information, please visit our web page: https://dbe.unibas.ch/en/research/imaging-modelling-diagnosis/magnetic-resonance-physics-methodology/ We are looking for a PhD candidate to join our research team in
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Engineering at ETH Zürich under the supervision of Prof. Dr. Dennis Kochmann and Dr. Jakob Schwiedrzik. This fully-funded and full-time position will be available immediately or upon agreement, with a planned
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. Empa is a research institution of the ETH Domain. Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in
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Nanotechnology Center (IBM Research Zurich). This fully-funded and full-time position will be available from September 2025 on, with a planned project duration of four years. The PhD student will develop expertise
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. Empa is a research institution of the ETH Domain. The Laboratory of High Performance Ceramics is offering a PhD position focused on the development of new catalytic materials for CO2 conversion
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for advanced fluorescence microscopy and then use the tools to study dynamic cellular processes. The position is fully funded. Research in the Frei Research Group focuses on the development of novel chemigenetic
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100%, Zurich, fixed-term We are seeking for a curious and motivated PhD student to join our optomechanics team and work at the interface between integrated photonics /nanophotonics and optical
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical