213 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" uni jobs at ETH Zurich
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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100%, Zurich, fixed-term ETH Zurich is one of the world-leading universities for science and technology. At ETH Zurich, researchers experience a climate which inspires top performance. Situated in
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. Job description The topic of your PhD will lie at the exciting interface of theoretical computer science, quantum computing architectures, and the foundations of quantum computing, with the exact focus
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on ultrafast quantum dynamics in condensed matter. The candidate will acquire expertise at the frontiers of ultrafast science and apply it to conduct cutting-edge research on quantum materials. Further project
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, Chemistry, or a closely related subject. Excellent communication skills in English, both oral and in writing. Strong interest in Materials Science and the application and development of advanced computational
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or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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, with deep experience in appearance reconstruction and material modeling. Required Qualifications MSc in Computer Science or related field Strong background in computer vision and/or computer graphics
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational