- Agency
- University of Michigan, Cooperative Institute for Great Lakes Research (CIGLR)
- Location
- Ann Arbor, MI
- Job Category
- Full time Positions
- Salary
- $54,000-$57,000
- Last Date to Apply
- 03/03/2023
- Website
- https://careers.umich.edu/job_detail/230019/earth-system-modeler-postdoc
- Description
- The Cooperative Institute for Great Lakes Research (CIGLR) is seeking a candidate to join a team of modelers working on development, testing, and deployment of coupled, integrated earth system models of the Great Lakes basin. The purpose of this integrated earth system modeling project is to support development of a real-time three-dimensional circulation and flood forecast modeling system in the Great Lakes. The integrated earth system modeling components are designed to simulate physical processes including meteorology, hydrology, hydrodynamics, waves, and ice. Objectives of the project include calibration and verification of an unstructured three-dimensional baroclinic hydrodynamic lake model that includes the flood plains to predict coastal inundation. This lake model will be coupled to operational meteorological models such as the atmospheric High-Resolution Rapid Refresh model (HRRR), the WAVEWATCH III wave model, and the hydrologic National Water Model (NWM). The candidate will work to explore, develop, and test coupling strategies between three-dimensional hydrodynamic models and three-dimensional hydrologic models. The ideal candidate will have strong technical skills related to hydrodynamic, wave, or similar model development and high-performance computing.
- Qualifications
- Required qualifications PhD in physical oceanography, atmospheric science, or similar field. Experience configuring, running, and evaluating large scale earth system models in a high-performance computing environment. Experience in processing large datasets in a variety of different data formats (ASCII, GRIB, or NetCDF). Skill in working with data from surface meteorological stations, in-situ oceanographic observation, and/or numerical weather prediction. Experience with handling data in a Linux/Unix high-performance computing environment and scripting data analysis software such as R, Python, or IDL. Strong publication record in a relevant field, including at least one lead-author publication. Strong communication skills and demonstrated ability to work independently in collaboration with an interdisciplinary team. US citizenship or permanent residency required. Desired qualifications Experience with FVCOM, ROMS, SCHISM and/or WAVEWATCH III models. Experience in coupling hydrodynamic and hydrologic models (nearshore coupling). Experience in coupling hydrodynamic and wave models. Previous work on coastal inundation prediction. Experience working with geospatial data and developing hydrodynamic model grids.
- Contact Person
- See job ad
