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methodologically strong and motivated to work at the intersection of applied machine learning, social sciences, and natural sciences. Essential qualifications: A completed PhD in data science, computer
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depth. PhD degree in Physics, optical engineering, biomedical engineering, electrical engineering, or closely related fields Excellent skills in development of complex optical systems Experience in
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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neutral-atom quantum technologies and many-body quantum physics Ability to work both independently and collaboratively Good communication skills in English (German is a plus) We offer A highly creative and
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measurement techniques such as particle image velocimetry (PIV), laser Doppler velocimetry (LDV), and hot- or cold-wire anemometry is highly desirable. Computational Fluid Mechanics position: - PhD in
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publications, project deliverables, and stakeholder engagement activities Your profile PhD in energy systems, sustainability science, engineering, socioeconomics (with a focus on energy), or a related field
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and to supervise and mentor junior group members. The ability to communicate in Spanish or Portuguese is a strong asset but not required. Please send your complete application to Jeanine Gehrig, Human
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computational biology. Profile PhD degree or equivalent in the fields of cell biology, mechanobiology, bionanotechnology, systems biology, quantitative biology (phenotyping), computational biosystems analysis
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23 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Engineering » Other Environmental science » Ecology Environmental science » Other Technology » Environmental technology
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experiments Profile PhD degree in physics or biophysics Experience in intravital imaging as demonstrated by first author publications is required Previous experience with ratiometric imaging is advantageous