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Ecological Modeling Data Analyst

Expiration Date: 

Job Opening: Ecological Modeling Data Analyst

Cooperative Institute for Great Lakes Research
School for Environment and Sustainability
University of Michigan

We are seeking an individual to join our ecological and physical modeling teams at the National Oceanic and Atmospheric Administration’s Great Lakes Environmental Research Lab (NOAA GLERL). Under the direction of project principal investigators, the Biophysical Modeling Data Analyst will work collaboratively with CIGLR and NOAA GLERL scientists to:

Develop experimental ecological forecasts linked to the hydrodynamic models of the Great Lakes Operational Forecast System.

Evaluate model performance through statistical comparison of modeled and observed water quality and biological and physical variables.These models simulate ecological and limnological processes within the Great Lakes including water quality, harmful algal blooms, and biogeochemical processes, among others.

Required Qualifications

  • A bachelor’s degree in the natural sciences, engineering, or related field
  • Experience working with hydrodynamic model code or output
  • Experience using R or Python to perform data manipulation and execute statistical analyses
  • Ability to analyze data, measure uncertainty, and report results promptly

Desired Qualifications

  • Experience with running Fortran-based scientific models in a Linux/Unix computing environment
  • One(1) or more years of experience in an academic and/or professional setting running mechanistic models of biogeochemical or ecosystem processes
  • Experience using a high-performance computing system
  • Experience handling ecological and geophysical data in multiple formats such as R data objects, ASCII, and NetCDF
  • Familiarity with hydrodynamic/ocean modeling frameworks such as FVCOM
  • M.S. or Ph.D. in aquatic ecology, limnology, or related field

For more information and to apply, visit
The application deadline is 7/31/22.