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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and
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themselves. In this project, you will investigate whether and how large offshore wind farms influence precipitation. Using high-resolution numerical modeling, you will examine the physical mechanisms through
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on research activities already underway in our Materials & Environment section, building up on existing numerical models providing a foundation from which you can build on and contribute your own expertise
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of foundations. You will work closely with academic staff, PhD candidates and project partners. Depending on the needs of the projects and your background, your activities may include: Conducting literature
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, including automated QC and uncertainty-aware learning from sparse/noisy measurements Build hybrid mechanistic–AI models linking traits to photosynthesis, stomata, hydraulics, and respiration across
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Experience Doctoral (PhD) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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, CFD/FSI modeling, or pump hydraulic testing Proficiency with engineering software such as CAD (e.g. SolidWorks), CFD solvers (e.g., CONVERGE, ANSYS Fluent, ABAQUS), and FEM/FSI tools Strong critical
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. Moreover, you will work closely with the other two postdoctoral researchers hired in the project to work on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in
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on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love
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Helmholtz Association of German Research Centres | Potsdam, Ohio | United States | about 2 months ago
specific components (the weather generator nsRWG and the hydraulic model RIM2D) and running the entire model chain for current and future climate. In addition, the successful candidate uses the model chain