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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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. Empa is a research institution of the ETH Domain. Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in
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to reduce greenhouse gas emissions and achieve net-zero targets. PhD position in Data-driven monitoring of CO2 and NOx emissions from space Your tasks Simulate emission plumes from point sources using
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quantification. Apply your methods to real satellite data from missions like CO2M and TANGO. Present your findings at international conferences and publish them in peer-reviewed journals. Complete a PhD thesis at
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and coordinate generation of new datasets for the scientific problems of interest. Analyse the data, write scientific manuscripts and present results at international conferences. Your profile Required
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15 Jan 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher Profile First
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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30 Dec 2025 Job Information Organisation/Company Empa Research Field Biological sciences » Biology Biological sciences » Other Computer science » Programming Computer science » Other Medical
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24 Dec 2025 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Biomedical engineering Medical sciences » Other Technology » Nanotechnology Researcher Profile
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models and in vitro assays. Experience in phototherapy, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is