Decision Analysis and Support (DAS) Lab in the Department of Fisheries and Wildlife at Michigan State University invites applications for the position of Research Associate (Fixed-Term). As a member of the DAS Lab, the Research Associate will also become a member of the Quantitative Fisheries Center. This position is funded for at least two years, with potential for extensions pending funding. The preferred start date is 1 January 2026, but a later start date may be considered. The successful candidate will co-lead the development of a structured decision making (SDM) process for an experimental Cisco reintroduction in Lake Erie, specifically in New York and Pennsylvania waters. The overarching goal is to work collaboratively with Lake Erie fisheries managers to identify and evaluate experimental Cisco stocking strategies and complementary restoration actions (e.g., spawning habitat construction or restoration) that align with agency objectives, account for uncertainty, and support long-term recovery of Cisco in Lake Erie. This work will operationalize the "Restore" phase of the Coregonine Restoration Framework (Bunnell et al., 2023) and, ideally, illustrate how this process could be transferable to other Great Lakes jurisdictions. This position will also provide support for the Research Associate to contribute to other DAS Lab projects that align with the candidate's research interests. Project in the DAS Lab occur in multiple Great Lakes systems and would provide opportunities to apply diverse decision analysis tools, including multi-criteria decision analysis, risk analysis, value of information, and optimization. The position will be supervised by Dr. Marjorie 'Mauri' Liberati, while working closely with partners from the Greak Lakes Science Center, New York Department of Conservation, and Pennsylvania Fish and Boat Commission. This position is an excellent opportunity to engage with agency professionals across the Great Lakes basin. The preferred work location for this position is East Lansing, MI, with travel to in-person workshops in northern New York and Pennsylvania covered by project funding. While we would prefer candidates who are willing to be located in southern Michigan, we are willing to discuss remote work arrangements.
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Job Type
Full-time
Career Level
Mid Level
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees