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campaigns . Our research group studies the crucial role of clouds and aerosols in the climate system, aiming to better understand how cloud microphysical processes drive both precipitation formation and the
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Office supports a broad community of weather and climate researchers across the C2SM network, providing support for weather and climate models and software tools for pre- and post-processing. One key tool
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and Process Engineering at ETH Zurich. The lab is composed of a highly interdisciplinary and international team of motivated researchers, working on engineering and applying advanced polymeric
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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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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)—a unique technology developed by our group—as a fully operational, camera-based underwater imaging system. RODI is designed to continuously detect, classify, and quantify drifting organisms in situ
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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software engineers and research scientists from our group and collaborators. You will extend an existing database system for viral sequencing data. Based on an existing research prototype, you will design
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. It fosters research excellence, industry innovation, and AI entrepreneurship. You will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust
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100%, Basel, fixed-term We are developing so-called lab-on-chip technology (or microfluidic technology) for applications across the life sciences and biomedicine. Our interdisciplinary approach