212 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at ETH Zurich in Switzerland
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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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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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, 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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100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
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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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, 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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The Strategic Communication Officer plays a central role in shaping NCCR Catalysis's positioning, both internally and externally. Working at the interface of science, strategy, and communication
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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