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80%-100%, Zurich, fixed-term We are looking for a motivated and hands-on Embedded Systems Engineer to join our interdisciplinary research group at ETH Zürich. Project background The Human-centered Sensing Laboratory focuses on the development of advanced sensor platforms that combine chemistry,...
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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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The ETH AI Center is one of the largest AI centers in Europe with over 120 Professors from all 16 departments of ETH Zurich and over 1500 PhD students & post-docs. Our mission is to foster interdisciplinary AI research and pave the way from science to society. If you are a highly motivated...
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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Required Qualifications: A Master's degree (MSc) in geodesy, hydrology, geosciences, geophysics, computer science, physics, or a closely related discipline A strong foundation in mathematics, physics, data
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ETH Zurich, Office for Faculty Affairs Position ID: 2253 -PROF1 [#26724] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Zurich, Zurich 8000, Switzerland [map ] Subject Area: Mathematics Appl Deadline: 2025/08/31 11:59PM (posted 2025/07/03, listed until...
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40%, Zurich, fixed-term Join our dynamic team at ETH Student Project House and help students bring their ideas to life through hands-on prototyping and with your metal working expertise. At the ETH Student Project House (SPH) we inspire and empower students to cultivate a mindset of makers and...
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and a computational design and robotic WAAM (wire arc additive manufacturing) fabrication framework for facilitating the reuse of end-of-life steel sections. This will be achieved by tasks related to (i
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application of deep learning models. Experience with data pipelines following FAIR principles, with skills in compressed sensing, image noise reduction and big data management, cloud computing, high performance