Employment Opportunities

The Cooperative Institute for Great Lakes Research (CIGLR) is seeking a candidate to join a team of hydrodynamic modelers working on development, testing, and deployment of hydrodynamic and wave models of the Lake Champlain-Richelieu River basin to support development of a real-time hydrodynamics and flood forecast modeling system. Objectives of the project include calibration and verification of an FVCOM-based hydrodynamic lake model and wind-wave model based on the WAVEWATCH III model.

 


The Cooperative Institute for Great Lakes Research (CIGLR) seeks applications for a full-time Assistant Research Scientist with expertise in genomics, proteomics, or metabolomics. We seek the best scholar in systems biology who integrates advanced ‘omics techniques to improve the management of aquatic ecosystems. Examples of areas that might be of interest include, but are not limited to, the use of eDNA to track and study rare or invasive species, use of functional genomics to understand the triggers of toxin production in harmful algal blooms, use of metabolomics to understand the mechanistic consequences of coastal hypoxia on benthic communities, or use of proteomics to predict the effects of climate change on Great Lakes fisheries.

 


The Cooperative Institute for Great Lakes Research (CIGLR) seeks applications for a full-time Assistant Research Scientist with expertise in biophysical modeling. We seek the best scholar who is developing predictive models that link biological to physical processes in aquatic ecosystems. Areas of particular interest include modeling of aquatic food-webs, invasive species, or harmful algal blooms where the goal is to predict how these respond to changes in lake thermal or hydrologic regimes, storm frequencies, or water chemistry.

 


The School for Environment and Sustainability (SEAS) at the University of Michigan is seeking applications for a full-time, nine-month, tenure-track Assistant or Associate Professor in Spatial Science of Coupled Natural-Human Systems.