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: 10-May-2026, 6:59:00 PM Disclosure and Barring Service Requirement: Please note that the successful applicant will require DBS disclosure. Further info: https://bit.ly/3DP5K8y This post is for
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, geographical social science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more
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, intelligent transport systems, smart city, utility system management, location-based services, geographical social science and near-surface geophysical survey. LSGI has a number of well-equipped research and
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, geographical social science and near-surface geophysical survey. LSGI has a number of well-equipped research and teaching laboratories. Please visit the website at https://www.polyu.edu.hk/lsgi/ for more
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Qualifications Required qualifications: ● PhD in civil engineering, mechanical engineering, geophysics, or a related field ● Experience with developing and implementing elastography-type inverse solutions
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machine learning applied to geophysical signals. Experience in managing research projects. We encourage early career (post PhD), mid-career and senior researchers to apply. LanguagesENGLISHLevelGood
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of play: The research group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART
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group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all
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-reviewed journals and at conferences Your qualifications: A Master’s degree (or equivalent) and a PhD degree in Civil or Environmental Engineering, Geosciences, Geophysics, Environmental Sciences
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD