210 structural-engineering "https:" "https:" "https:" "https:" uni jobs at ETH Zurich
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100%, Zurich, fixed-term The Chair of Engineering Geology and the BedrettoLab at ETH Zurich invites applications for a Postdoctoral Researcher position within the European research project UPLIFT
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background The Swiss Data Science Center (SDSC) is hiring a Software Research & Development Engineer to join its project-based engineering team in Zürich. This team focuses on transforming research outcomes
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concepts into clear, engaging visuals - working closely with our engineering team to bring ideas to life. The scope of the work could be 60% for one project or with the right candidate and skill set extended
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, electrical engineering, a natural science, medical, or related field Experience in scientific research, ideally in the area of machine learning and/or data science Strong organizational skills and an
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the structure and function of plant pathogen genomes. We are looking for someone with prior experience in either fungal or transposon comparative genomics, who can explore the diversity and evolution of Starship
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opportunity to work with leading experts across Europe to design and deliver sustainable meta-materials for vibration mitigation, self-aware meta-components and carbon-efficient meta-structures
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100%, Zurich, fixed-term The Chair of Engineering Geology and the BedrettoLab at ETH Zurich invite applications for a PhD position within a research project on poroelastic effects and induced
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and engineering the structure, function, and dynamics of microbiomes across diverse biological and environmental systems. Several research groups at the Institute of Microbiology contribute to the NCCR
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screening platforms, with a focus on skin tissue models, including fibrosis. We are embedded within the Tibbitt group, in the Macromolecular Engineering Laboratory . Project background The glycocalyx is a
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of semiconductor devices. The aim is to predict these properties for arbitrarily large structures, at a DFT-level of accuracy. As a starting point, you will extend the large-scale equivariant GNNs we develop