176 high-performance-quantum-computing-"https:"-"https:"-"https:" positions at ETH Zurich
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experience in nanoscale device fabrication, nanophotonics, and high-frequency optoelectronic characterization. The position will involve extensive teamwork and coordination with other PhD students and senior
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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or German) Motivation letter (~2 pages) describing your interests and relevant experience Contact details of two references Shortlisted applicants will be invited for an interview by 31.03.2026. Start
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but also collaboratively with other scientists Solid background in organic synthesis High proficiency in oral and written English Preferred prior experience with nanoparticles and characterization
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Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via ETH Zurich’s online application system can be considered. Please prepare the following documents: Motivation letter (max. 2 pages) Curriculum Vitae (CV) Academic transcripts and...
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We look forward to receiving your online application with the following documents: Motivation letter CV Academic transcripts At least 2 reference letters Application deadline: March 31st, 2026 Earliest starting date: June 2026 Please note that we exclusively accept applications submitted through...
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computational mechanics to work on a project focused on the mechanics of colloidal systems. The PhD candidate will conduct research in a collaborative project with partners from the ETH Department of Materials
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seeking a postdoctoral fellow who will integrate with the existing team and support both in the development of new concepts and in delivering high-quality measurements to partners and collaborators
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
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determines sensor performance and device reliability. Project background Miniaturized gas sensors are increasingly important for applications spanning environmental monitoring, industrial safety, healthcare