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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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of Mechanical and Process Engineering and the Department of Health Sciences and Technology, offering a unique interdisciplinary blend of cutting-edge research in engineering, health, and technology. Project
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Zurich translates the science of materials processing into societally impactful technologies through student entrepreneurship and interdisciplinary collaboration. For this research project in partnership
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100%, Zurich, fixed-term The Membrane and Interfacial Science Lab in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich designs materials and processes that enable more
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transduction for cell line generation. • Perform metabolic perturbations and cell‑based assays to study antigen processing and presentation. • Conduct flow cytometry and fluorescence‑based assays. • Prepare
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farming systems, land management and erosion processes influence nutrient loading in rivers and lakes, as well as better identification of eutrophication hotspots across the EU. This PhD project will
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with