196 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at ETH Zurich
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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degree in Mechanical Engineering, Microsystems Engineering, Materials Science, Physics, Biomedical Engineering or similar Required skills/knowledge: Micro- or nanofabrication and characterization in a
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networks Publish results in peer-reviewed journals and present at scientific conferences Co-supervise MSc, BSc, and PhD students and contribute to teaching in the Forest and Landscape Management program
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to the research group’s teaching responsibilities, which involves teaching courses for ETH’s teacher training program in German. Further, the candidate should be prepared to co-mentor PhD students and to mentor
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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100%, Zurich, fixed-term The Nanomaterials Engineering Research Group at the Institute for Chemical and Bioengineering is an interdisciplinary team composed of chemical engineers, physicists
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and innovations directly into practice. The Laboratory of Energy Science and Engineering (D-MAVT) is working actively on developing numerical and experimental tools to probe single- and multiphase
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website . For any further questions, please contact jonas.wuest@wysszurich.ch About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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At ETH Zurich, in close collaboration with the spin-off optohive, we are developing a new generation of functional near-infrared spectroscopy (fNIRS) technology to enable fast, wearable brain