225 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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, including data management and the maintenance of computational infrastructure and software. Project background The position is part of the Institute of Microbiology at ETH Zurich and closely linked
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doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a related field. You have a strong background in computational solid mechanics and nonlinear continuum
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researcher to advance our understanding of magmatic and volcanic systems. Job description Develop and lead an independent research program in magmatic petrology, volcanology, and/or geochronology. Publish
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for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
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. Further Information Applicants are asked to consult theFrequently Asked Questions (FAQs) before reaching out. If your question is not covered, you may contact the doctoral program coordinator, Nazlı
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or Master's level) Interest in geophysics, civil engineering, or data-driven infrastructure monitoring Practical, hands-on attitude for field and laboratory work Programming experience (Python preferred
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100%, Zurich, fixed-term Human–Computer Interaction in Architecture and Digital Fabrication This fully funded, full-time PhD position spans four years and is embedded within the interdisciplinary
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results effectively within the lab and to broader scientific audience Profile Education & Experience: Master’s degree required; PhD preferred in Computational Biology, Bioinformatics, Data Science, Computer Science
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services will not be considered. Further information about our lab can be found on our website . Questions regarding the position should be directed to Mrs Martina Koch, Adm. Assistant, Tel 044 632 45 16
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within the ETH environment and in national and international RDM networks. Profile PhD in natural sciences, engineering, computer science, or comparable fields Several years of experience in research data