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their own research questions. They are expected to collaborate closely with other team members and researchers from other institutions, will co-supervise PhD and MSc students, and contribute to teaching and
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methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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of disease-related biomarkers, and study of organ-on-a-chip. We develop microfluid, optical and electrochemical methods in combination with microorganisms and cells to provide solutions for environmental and
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organising a course and assisting with exam grading. - The anticipated start date is 1 September 2026, with some flexibility upon agreement. - A PhD in Mathematics (completed by the start date) is
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direction for future efforts in this broad area, and collaborating with Ph.D. students, other Post-Docs, and Scientific Staff (such as software developers from ETH's Scientific IT Services group) to produce
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the results in form of patents or publications, as well as assist in the technology transfer Your profile We invite applications from candidates possessing: A PhD degree with substantial experience in Chemical
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probe tomography or scanning probe microscopy. Your profile You hold a PhD in Physics, Materials Science or similar. A high level of motivation to work in close collaboration with industry
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. Supervise Bachelor’s and Master’s theses within the scope of the project. Contribute to the preparation of research proposals and technical reports. Your profile PhD in civil/structural engineering (or
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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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PhD in physics, biomedical engineering, mechanical engineering, or related discipline Solid background in the physics of microbubbles, ultrasound, or acoustics Experience with Verasonics ultrasound