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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Innovation (IRMII). Research in this area involves the development of computational models that characterize and manage financial risk in a wide range of contexts, from flooding to pandemics to cyberattacks
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territory provides access to a very rich dataset on emergency interventions during flood episodes. Where to apply Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/3714 Requirements
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interests related to coastal restoration, marsh migration, and community adaptation to flood risk. While not exclusive, specific areas of research connected to these priorities could include: • Addressing
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, and manage hydrological and land-use datasets in support of environmental and flood modeling applications. • Produce GIS-based risk and vulnerability reports to support long-term planning, research, and
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building on campus. Operate University Vehicles Must be able to travel to other PNW locations as needed. Report building damages, problems, and or needs to supervisor on shift Perform clean up after floods
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projections under climate change and plays a key role in evaluating flood safety targets and risk-reduction measures. We are looking for a candidate to run the GFZ model chain RFM (Regional Flood Model
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or Mathematics (significant work experience in the field can also qualify) Knowledge of hydrological processes and flood risk Experience in statistics, particularly extreme value statistics, and hydrological
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hydrological processes (Schumann and Bates, 2018). Within the UK, operational flood mapping by the Environment Agency combines modelling and observations but still relies heavily on precomputed flood risk maps
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strengthen our university through collaboration and diverse perspectives, across all roles at the University. Property-level flood resilience (PFR) measures are a key component in mitigating flood risks