118 programming-"the"-"DAAD"-"IMPRS-ML"-"PDI-Service"-"U"-"UCL"-"https:" positions in Switzerland
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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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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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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
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development. The Project Hub supports ETH-led missions and technology programs with systems engineering, project management, and PA/QA capabilities. The Innovation Hub accelerates early-stage, high-risk
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the possibility of extension to two years (covering the potential full duration of your study programme). Profile Essential: You are enrolled at a Swiss university (final year of a bachelor’s programme or early in
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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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machine learning techniques. Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git). Strong publication record in reputable
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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