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Qualifications: Ph.D. in aquatic or fisheries ecology, landscape ecology, or related field within last 5 years. Applicants must be able to work independently and with other researchers, publish findings in peer-reviewed journals, and write proposals and reports. This position is funded for two-years, renewed after one year contingent on performance.
Applicants must have a demonstrable understanding of landscape influences on aquatic habitats and organisms at coarse and fine scales. A strong background in use of statistical analysis and/or modeling, substantial experience with Geographic Information Systems and spatial data management, and familiarity with remote sensing-based land cover products are required. The assignment will involve occasional travel for presentation of results at stakeholder meetings or scientific conferences; travel funding is included. The successful applicant will be supervised by Dr. Mark Nelson (U.S. Forest Service) and Dr. Joe Knight (University of Minnesota).
Location: U.S. Forest Service, Northern Research Station, St. Paul, MN, and Forest Resources Department, University of Minnesota, St. Paul, MN.
Salary: $47,476-$50,000 per year plus benefits.
About the Job
We are seeking a highly motivated post-doctoral research associate to contribute to efforts that will support the Great Lakes Restoration Initiative (GLRI) in improving cold water fish populations within Great Lakes basins. Existing distributions of trout, salmon and other cold water fish assemblages will be linked to changes in land use and land cover by watershed. Areas with impaired habitat will be identified for future restoration effort.
The incumbent will be expected to develop an integrated modeling and decision-making framework by spatially and temporally linking land use, cover, and change; water quality and quantity; and cold water fish populations throughout Great Lakes basins. There are currently 34 million acres in HUC-12 watersheds that are home to known trout stream habitat in the GL basin. Relationships will be assessed at multiple spatial scales (HUCs – to – basins) and temporal scales (years – to decades). The incumbent will build upon previous GLRI efforts that linked forest canopy disturbance to water quality in Great Lakes tributaries, expanding analyses of land-water relationships to include effects on other water quality and quantity metrics, and their effects on cold water fish populations. Assessments will build on or enhance existing models and understandings of trout/landscape information to address lotic systems and connectivity for cold water fish species (both native and introduced) and/or associated limiting factors (e.g., aquatic invertebrates) or stressors (e.g. sea lamprey). Incumbent will publish results in scientific papers and develop a system for spatially prioritizing land management activities. One project will be accomplished to prioritize (high, medium, and low quality) trout, salmon and other fisheries habitat (classification by HUC 10 and/or 12).
The post-doctoral research associate is employed by University of Minnesota, and is co-directed by research scientists within the University and U.S. Forest Service, Northern Research Station. The post-doctoral research associate will collaborate with fisheries and forestry scientists, landscape ecologists, inventory and monitoring specialists, and natural resource experts in U.S. Forest Service, University of Minnesota, and other agencies and universities.
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your “My Activities” page and uploading documents there. Applications must include a cover letter, CV, the names and address of three professional references.
This position will remain open until filled.
To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-UOHR (8647).