186 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" uni jobs at ETH Zurich
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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aspects of nuclear safely. The focus of the project is to gather essential data on the liquid source term, improve our understanding of the associated phenomena and develop tools to simulate the relevant
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60%, Zurich, fixed-term The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) of the ETH domain, with EPFL and ETH Zurich as
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systems. The wide range of experiments conducted in the BedrettoLab relies on numerous sensors and data acquisition systems that monitor processes both in the tunnel and within the surrounding rock mass
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to magnitude -5 at meter-scale distances. All data is acquired and processed through SeisComP. The BedrettoLab team comprises about 30 scientists from diverse disciplines and collaborates with research
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letters. Further information about the Department of Architecture can be found on our website . Questions regarding the position should be directed to Ms. Kindler-Gordon, kindler@arch.ethz.ch
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BSc and MSc transcripts A motivation letter including a list of 3 references willing to provide a recommendation letter Further information about the Computational Cancer Genomics Group can be found
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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, interest and motivation CV Certificates (transcripts for Master degree) Two reference letters Further information about BPL and D-BSSE 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