NOAA Great Lakes Environmental Research Laboratory (GLERL), located in Ann Arbor, Michigan, conducts innovative research on the physical environments and ecosystems of the Great Lakes. The laboratory consists of three science branches: Integrated Physical and Ecological Modeling and Forecasting (IPEMF), Ecosystem Dynamics (EcoDyn) and Observing Systems Advanced Technology (OSAT). http://www.glerl.noaa.gov
The IPEMF conducts innovative research and develops numerical models to predict the physical, chemical, biological, and ecological response in the Great Lakes due to weather, climate, and human-induced changes. The forecast models and quantitative tools developed by IPEMF researchers allow scientists, coastal resource managers, policy makers, and the public to make informed decisions for optimal management of the Great Lakes and to maintain a healthy, sustainable, resilient ecosystem.
The EcoDyn branch makes long-term ecological observations, conducts targeted fundamental research on ecological processes, and provides data to develop models critical to understanding ecosystem structure and function. EcoDyn also develops models to forecast impacts of multiple stressors e.g., invasive species, climate, and nutrients on Great Lakes water quality, food webs and fisheries. EcoDyn observations, laboratory, and field experiments support the development of new concepts, models, forecasting tools and applications to evaluate and forecast impacts of, and mitigation strategies for, present and future stressors.
The OSAT branch develops and operates technology that supports GLERL scientific research, meets emerging infrastructure needs, and provides environmental awareness to stakeholders. An integral part of providing environmental intelligence is the development algorithms to retrieve geophysical products from satellite and airborne sensors that can be used in forecast models for observation and monitoring of environmental change or for operational purposes. In addition, OSAT and related programs provide the real-time and historical data necessary to increase the reliability of Great Lakes forecasting on environmental conditions such as hypoxia (reduced oxygen levels) and harmful algal bloom.
We are seeking up to 3 graduate students with physical science, engineering, computer science, GIS or programming background to work with GLERL scientists on projects related to computer modeling, ecological science, instrumentation, data analysis, data visualization and programming.