The Cooperative Institute for Great Lakes Research (CIGLR) is seeking a full-time Assistant Research Scientist in Hydrodynamics in collaboration with the National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) and the School for Environment and Sustainability (SEAS). You will lead CIGLR’s portfolio of research in hydrodynamics of the Great Lakes. This position is essential to our core areas of research including forecasts of harmful algal blooms, hypoxia, and floods; models of transport of oil and other pollutants; models of key ecological processes such as eutrophication and transport of commercially important and invasive species; short-term predictions of water level fluctuations; ice forecasts that inform the shipping industry and thus support the “blue economy”; and predicting how climate change will affect the thermal structure and circulation of the lakes. We are particularly interested in candidates who can lead the development of coastal coupling between hydrodynamic and hydrologic models, to eliminate coastal “blind spots'' and improve our ability to predict coastal flooding.
Candidates must have a PhD in physical oceanography, limnology, or related fields. The successful candidate is expected to have a strong record of publication, including first-author publications. Candidates should also have the following:
- Experience with 3D hydrodynamic modeling using state-of-the-art ocean ocean models (FVCOM, ROMS, SCHISM or similar), analyzing oceanographic datasets, and model skill assessment.
- Experience with high performance computing systems (e.g., shell scripting, programming) and proficiency in FORTRAN, Python, R, or similar programming language.
- Experience linking multiple model components, such as linking a hydrodynamic model with a hydrological or wave model.
- Ability to effectively collaborate with diverse experts at CIGLR, SEAS, GLERL, and other partner agencies/institutions/organizations.
- Ability to effectively communicate, supervise and mentor employees and students, and provide scientific leadership of an interdisciplinary team.
- US citizenship or permanent residency.