211 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Software Engineering group builds data-centric software products
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Dr Daniel A. Richards and Professor Andrew J. deMello, in the Institute for Chemical and Bioengineering at ETH Zürich, are searching for two postdoctoral researchers to develop a diagnostic device
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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
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The Wyss Zurich Translational Center – Wyss Zurich – is a joint startup accelerator of the University of Zurich and ETH Zurich (Swiss Federal Institute of Technology Zurich). It was established
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
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have enabled unprecedented control over light-matter interactions, catalyzing breakthroughs in imaging, nonlinear optics, and photonic computing. We leverage these developments to advance the field
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) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal
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implementation strategy to drive the LIFE Space Mission to successful launch and operations. To support the mission concept study, we opened two positions in Optical Engineering. Project background LIFE brings
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for a passionate sales professional with a business developer’s mindset to help us do so. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
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-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable