Job Opening: Modeling Data Analyst
Cooperative Institute for Great Lakes Research
School for Environment and Sustainability
University of Michigan
Job Summary
The Cooperative Institute for Great Lakes Research (CIGLR) is looking for you to work with the ecological and physical modeling teams at the National Oceanic and Atmospheric Administration's Great Lakes Environmental Research Lab (NOAA GLERL). Under the direction of the Project Principal Investigators, the Modeling Data Analyst will work with CIGLR and GLERL scientists to 1) develop experimental ecological forecasts linked to the hydrodynamic models of the Great Lakes Operational Forecast System, and 2) evaluate model performance through statistical comparison of modeled and observed water quality, biological, and physical variables. These models simulate and forecast harmful algal blooms, hypoxia, biogeochemical processes, and species interactions, among other ecological and limnological processes within the Great Lakes.
The appointment will be with CIGLR, which is part of the University of Michigan's School for Environment and Sustainability (SEAS) located in Ann Arbor, Michigan. CIGLR is a collaboration between the University of Michigan and NOAA that brings together experts from academia and government research labs to address Great Lakes environmental challenges. You will spend the majority of your time working with NOAA GLERL in Ann Arbor on projects led by Dr. Mark Rowe. Because of the remote work policy at both the University of Michigan and NOAA, there is the possibility for this position to be performed remotely for at least the first year.
Responsibilities
- Run numerical hydrodynamic, ecological, and biophysical models of the Great Lakes (e.g., FVCOM) using a high-performance computing system. This may also include some model revision and development
- Evaluate the performance and skill of ecological and hydrodynamic models of the Great Lakes by statistical comparison of modeled versus observed water quality, biological,
- and physical variables using R or Python
- Conduct model transition to real-time forecasts in collaboration with CIGLR, GLERL, and external partners
- Present data findings to our audiences and contribute to the publications in scientific journals
- Required Qualifications
- A bachelor's degree in the natural sciences, engineering, or related field
- One(1) or more years of experience in ecological data, modeling and professional activities (e.g., large gridded data sets from model output or remote sensing)
- Experience analyzing data, measuring uncertainty, and reporting results promptly
- Experience discreetly handling sensitive sampling data
- Ability to work both in a collaborative environment and independently
Desired Qualifications
- A Master's degree or Ph.D.
- Experience handling ecological and geophysical data in multiple formats such as ASCII, NetCDF
- Experience running Fortran-based scientific models in a linux/unix computing environment
- Experience with hydrodynamic/ocean modeling
- Experience in aquatic ecology and limnology
- Experience with scripting data analysis software such as R, IDL, Python, or Matlab
For more information and to apply, visit
https://careers.umich.edu/job_detail/201364/modeling_data_analyst
The application deadline is August 21, 2021.