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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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to cutting-edge tools, algorithms, and large, high-quality seismic datasets. Occasional fieldwork to acquire data from temporary networks, providing you with hands-on experience in the field. A competitive
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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) Experience with simulation programs, big data analyses, or qualitative analyses. N.B. it is not expected/desired that you have experience with all of these methods/programs, but familiarity with some are
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of the CDL group and the postdocs, on closed-loop control systems with machine learning, and design for fabrication workflows. In addition to conducting their research, Ph.D. students at ITA get the
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. At the same time, data-driven methodologies and machine learning offer new opportunities for optimal traffic management strategies but often they lack physical intuition, which creates obstacles towards large
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100%, Zurich, fixed-term The research group of Prof. Simonov at ETH Zurich is seeking a motivated PhD candidate interested in developing computational approaches for understanding disorder in
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achieve. Our research aims to identify and address the energy and carbon inefficiency of modern computer networks. Projects in this area are inherently multidisciplinary as energy consumption is affected by
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, has created two exciting PhD positions within the Block Research Group. These positions provide an exceptional opportunity to contribute to pioneering zero-carbon concrete structures. Candidates will