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skills and programming experience either in Python, or C/C++, or equivalent. Prior experience in snow/ice modeling, field work and in working with large data sets will be advantageous for the project
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for decentralized and distributed data-driven methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be
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focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations
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researchers at conferences and more. What will make you stand out A proactive, creative mindset when it comes to solving complex scientific and engineering challenges. A willingness to work on large data
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, textual, and temporal data for management applications. Recently awarded several major grants, our center is at the forefront of bridging sophisticated AI research with practical business applications. The
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available to ETH Zurich employees, which are designed to make their work and life easier. (more information here ) The DBT group is a large international team of architects, engineers, artists, and designers
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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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) 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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large and medium-sized Swiss organizations. They will also be expected to participate in community outreach and educational programs. Profile An excellent Master’s degree in Industrial Engineering and
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to analyze crystallographic data and model electronic structures in complex materials. The work involves creating code for processing diffuse scattering data, performing density functional theory (DFT