151 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at ETH Zurich in Switzerland
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the institute. You will work in Moodle to maintain and improve the online component of the course, including graphical summaries of new content. You will also compile the event program booklet. In this role, you
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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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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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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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: 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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environment. The Postdoctoral Fellowship Program, made possible via our Strategic Partnership with Halter Group AG , funds a two-year postdoc position annually over 5 years. The goal is to advance computational
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component of solid-state transformers (SSTs). Such SSTs are required, for example, in future AI data centres, where power consumption per computer rack increases to levels of several hundred kilowatts or even
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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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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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational