Postdoctoral Research Associate (Multiple Positions in Integrated Hydrologic–Hydraulic Modeling)

1. Computational Hydrology: Leading large-scale hydrologic modeling efforts using the GPU-based Tiger-HLM, including continental-scale simulations, high-performance computing workflows, and analysis of long-term and large-ensemble forcing datasets. The position will involve refining model formulations, implementing methodological improvements, and running and evaluating simulations to support flood hazard and risk analyses across large river basins.

2. Hydraulic and Flood-Inundation Modeling: Development and application of physically based flood-inundation modeling to translate hydrologic model outputs into high-resolution flood hazard information (riverine, coastal, and pluvial). The position will focus on implementing, refining, and efficiently applying two-dimensional hydrodynamic modeling using TRITON, including large-domain simulations, targeted high-impact scenarios, and close integration with hydrologic simulations and terrain representations.

3. Terrain and DEM Characterization for Hydrologic and Hydraulic Modeling: Development, assessment, and refinement of digital elevation model (DEM) products to improve hydrologic and hydraulic model performance across large spatial domains. The position will focus on DEM conditioning, channel and floodplain representation, and integration of multi-source elevation data to support scalable hydrologic simulations and physically based two-dimensional hydraulic modeling.

4. Vegetation and Ecohydrologic Modeling: Coupling vegetation dynamics with hydrologic variability to examine how soil properties, rainfall amount, seasonality, and interannual variability influence plant productivity, allocation, phenology, and functional traits in dryland and savanna ecosystems. The position will involve integrating or extending vegetation components within the Tiger-HLM hydrologic modeling framework, in close coordination with hydrologic model development.

5. Fire Modeling and Fire–Hydrology Interactions: Modeling wildfire occurrence, behavior, and impacts as stochastic disturbance processes and their interaction with hydrologic variability and vegetation dynamics. The position will focus on representing fire effects on vegetation structure, productivity, and trait expression within an integrated hydrologic-hydraulic-vegetation modeling framework, with particular emphasis on dryland and savanna systems and post‑fire hydrologic response.