363 parallel-computing-numerical-methods-"Prof"-"Eindhoven-University-of-Technology-(TU" positions in Switzerland
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Researcher (R2) Country Switzerland Application Deadline 9 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 41 Is the job funded through the EU Research Framework Programme
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expected to be able to teach in French within the 4-year probationary period. Further information may be obtained from Prof. Jan-Willem Veening (Jan-Willem.Veening@unil.ch ), Director of the Department
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be directed to Prof. Markus Niederberger [markus.niederberger@mat.ethz.ch]. Applications are reviewed on a rolling basis until the position is filled. The preferred start date is as soon as possible
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the adoption of data science and machine learning methods within these diverse disciplines. Project background At the Swiss Data Science Center we work extensively in the application of machine learning
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information may be obtained from Prof. Prof. Chantal Csajka (chantal.csajka@chuv.ch ), Director of CRISP. Applications, in English, should include i) a motivation letter, ii) a curriculum vitae, iii) a list of
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experimental and simulated data, leveraging AI and machine learning techniques Contribute to novel computational optimisation methods for machining processes Develop and implement automation solutions, including
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description 100%, starting January 2026 (negotiable) Proteins must fold correctly
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Your position In the context of a program funded by the Swiss National Science Foundation, the successful candidate is expected to carry out independently a project at the interface between
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DIZH understands innovation very broadly and includes all disciplines: artistic, design, natural science, technology, humanities, education and social science.
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researchers. Process and analyse mobility datasets (Python) and/or build interactive web views (JavaScript + modern tooling such as Vite). Document methods and contribute to open-science practices (reproducible