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on Human Factors in Computing Systems, Lancet Digital Health, npj Digital Medicine). You will also be involved in teaching activities.
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degree in the fields of transportation, civil engineering, computer science, urban analytics, spatial planning, geography, geoinformation, psychology or an equivalent qualification. Experience with first
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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100%, Zurich, fixed-term The research group of Prof. Müller, Laboratory of Energy Science and Engineering at ETH Zürich is looking for a highly motivated candidate with a strong expertise and interest in the development of heterogeneous catalysts and their in-depth characterization. Generally,...
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on the following activities: Writing scripts for the automated collection and cleaning of data, and organizing it into a database Computing simple statistics Preparing graphical representations Testing surveys
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developer with a strong background in scientific computing who is eager to lead a development team, drive innovation, and explore commercial opportunities arising from our research. The position is linked
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Emulators of Stochastic computational models"), funded by the Swiss National Science Foundation (SNSF). The project aims to significantly advance the state-of-the-art in uncertainty quantification (UQ) by
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. Most importantly, we are looking for a person who is flexible, communicates well and interested in and able to aquire new skills. Profile Required Skills A degree in computer science, mathematics
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ETH Zurich, Office for Faculty Affairs Position ID: 2253 -PROF2 [#26726] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Zurich, Zurich 8000, Switzerland [map ] Subject Area: Mathematics - Probability Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/04,...
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Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential for promoting our