229 computer-science-intern "https:" "https:" "https:" "https:" "DESY" positions at ETH Zurich in Switzerland
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strategies. As part of the MSCA program, the students will be interning with Siemens Energy’s storge division and participate in an academic exchange with the Energy Systems Lab at Imperial College London
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The Strategic Communication Officer plays a central role in shaping NCCR Catalysis's positioning, both internally and externally. Working at the interface of science, strategy, and communication
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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cumulative PhD at the intersection of law, computer science, and empirical social science Our offices are located in downtown Zurich, and the working languages are German and English Profile We are looking
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of Bern). The position will be hosted at the Institute for Atmospheric and Climate Science at ETH Zurich and will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science
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or mechanical engineering, or CS Solid knowledge of computer vision and ML, particularly anomaly detection methods Experience with multimodal data (e.g., image + time series, sensor fusion) is a strong ad-vantage
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Required Experience: PhD in Geodesy, Geomatics, Aerospace Engineering, Signal Processing, or a related field Proven experience in GNSS data analysis and processing Very good programming skills (e.g., Python
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collaboration with various stakeholders (engineering companies, Swiss Armed Forces, armasuisse, international collaborators) to ensure efficient roll-out of the system Profile MSc degree in Geophysics, Seismology
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced