83 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"U.S"-"UCL" positions at ETH Zurich
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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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: program surveys in Qualtrics; create documentation such as questionnaires, codebooks and technical reports; support the teams with data analysis and reporting to third party stakeholders such as SBB or AMAG
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. Position details: Start date: Jan. 1st 2026 or by agreement Funding: Fully funded PhD position (ca. 4 years, final admission to Doctoral Program after successful Aptitude Colloquium after 1.5 years, annual
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the Science in Perspective Program . Contribute to interdisciplinary research and teaching initiatives in partnership with computer science faculty, researchers, and students at ETH Zürich. Engage on topics
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generalization. Profile You hold a Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field. You have strong Python programming skills and a proven track record in developing
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case study landscapes. Thus, analytical and programming skills are essential. You will be developing and using a set of climate change and rewilding scenarios, including the cessation of forest
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management systems (e.g., openEdx) and familiarity with the concept of Open Educational Resources (OER); applying best practices in scientific programming (e.g., automated testing and version control
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is desirable. Strong programming skills are necessary. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations at ETH (funding secured for 4
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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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