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tools and insights for the optimal design of policies that affect electric vehicle (EV) charging and the electricity system. The PhD student will contribute to the development of exciting new methods
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motivated candidate with a strong interest in material development and characterization for electrocatalytic applications. LESE is focusing on the development, characterization and advancement of (solid) CO2
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developing personal projects, students gain valuable hands-on experience and learn essential skills for their future. That’s why we’ve created an ecosystem where students - Bachelor’s, Master’s, and Doctoral
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headed by Prof. Iber, which leverages imaging data to develop data-driven, mechanistic models of biological processes. The team employs cutting-edge computational tools and imaging techniques
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safety protocols. Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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10%-30%, Zurich, fixed-term The chair of Forest Resources Management (FORM) is seeking a motivated student to assist in the development of Deep Learning approaches for tree species identification
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of the optical properties of plasmonic nanoparticles using techniques such as UV-Vis and Raman spectroscopy. You will also prepare colloidal dispersions for thin film fabrication. Additionally, you will
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to enable the scientists at ETH Zurich to develop new technologies necessary for their successful research. Curious? So are we. Starting date: The anticipated start date for this position is January 2026 with
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100%, Zurich, fixed-term In the newly established Brain-Body Regulation Lab at ETH Zurich (Department of Health Sciences and Technology), we focus on developing non-invasive (self-regulation