87 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at ETH Zurich
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Sciences with strong IT/programming skills, or in Computer Science/Physics with interest in geoscience and sensors, to support sensor-noise analysis, calibration workflows, and seismic-coverage modelling
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) Familiarity with automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R
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, Deep Optics Excellent problem-solving abilities and a passion for research Strong programming skills and proficiency with differentiable simulation frameworks are a plus Excellent verbal, written, and
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modeling and teaching duties. Position details: Start date: February 1st, 2026, or by agreement Fully funded PhD position (approximately 4 years). Final admission to the doctoral programme follows a
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a highly committed multidisciplinary team Regular meetings and close collaboration with the project partners Enrolment in the PhD program of ETH Zürich ETH Zürich is a family-friendly employer with
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The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
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content. You will also compile the event program booklet. In this role, you will maintain regular communication with your colleagues at CEMETS and the Chair of Education Systems. The position is starting as
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of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes
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laboratories and in data analysis. Prior experience in nanofabrication, nano- and meta-optics, optomechanics, vacuum technology, programming for experiment control is highly valued but not mandatory. Workplace
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal