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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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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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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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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
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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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lung and bladder barrier models (membrane-based organ-on-chip models) and for exposing those to bacteria and potential target drug compounds. A variety of analysis methods (fluorescence microscopy, mass
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metasurfaces to explore polycrystalline materials as quantum light sources. This will include exploring chemical synthesis routes for ternary metal-oxides and combining these with nanopatterning methods as
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applied computational techniques, so the role combines tasks in typesetting (LaTeX) and coding (Python). Job description Typeset and format lecture notes and problem sets using LaTeX Assist in developing
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, or HCI methods familiarity with adaptive systems or machine learning prior experience conducting user studies Beneficial background in computational interaction or adaptive systes knowledge of optimization
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The Chair of Production and Operations Management (POM) (Prof. Netland) at D-MTEC, ETH Zurich, in cooperation with the Institute of Technology Management Division Production Management (ITEM) (Prof