194 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" uni jobs at ETH Zurich
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experimental information available, which hinders the disentanglement of intertwined processes. The Ph.D. candidate will work in the subgroup of Dr. Dmitry Zimin and focus on realizing novel experiments
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on our Website . For more information about Quino Energy, follow this link . Questions regarding the position should be directed to Prof. Dr. Máté J. Bezdek email (mbezdek@ethz.ch). Please note that we
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80%, Zurich, fixed-term The Biomedical Data Science (BMDS) Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions such as spinal cord injury (SCI
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100%, Zurich, fixed-term ETH Zurich’s Energy and Technology Policy Group (EPG) is looking for a postdoc working on technologies and policies for carbon dioxide removal. Led by Prof. Dr. Tobias
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applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about our institute can be found on our Website
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to conclude the recruitment process before the end of January 2026. Further information about the Laboratory for Bone Biomechanics can be found on our website . Questions regarding the position should be
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, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling
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considered. Further information about Veltst can be found on our website . Questions regarding the position should be directed to Dr. Alexandre Anthis, email aanthis@ethz.ch (no applications). We would like
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online application portal. Applications via email or postal services will not be considered. For further information, please contact Dr Simon Bull (simon.bull@biol.ethz.ch) or Professor Samuel C. Zeeman
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can