Michigan State University
2 months ago
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Postdoc in Lake and Stream Ecology, Community Science, and Freshwater Conservation Michigan State University in United States
Degree Level
Postdoc
Field of study
Environmental Science
Funding
1.5-year postdoc position. The postdoc will work on two funded projects supported by the Mott Foundation and the National Science Foundation (NSF).
Deadline
Aug 31, 2026
Country
United States
University
Michigan State University

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About this position
Michigan State University is advertising a 1.5-year postdoc focused on lake and stream ecology, limnology, community science, and the translation of research into action for freshwater conservation. The position is described as data-intensive and highly collaborative, with a strong emphasis on community engagement and partnership with local communities.
The postdoc will contribute to two funded projects: Turning MiCorps community science data into community water solutions (funded by the Mott Foundation) and Quantifying the interactive effects of human disturbances on lake biota and harmful algal blooms at the continental scale (funded by the National Science Foundation).
The work will be based with the Michigan State University Bridge Lab and the MSU Extension Center for Lakes and Streams, alongside a team including Jo Latimore, Kendra Spence Cheruvelil, Patricia Soranno, Paige Filice, Erick Elgin, and Kendall Ash. Ideal candidates should have strong analytical skills, an interest in community engagement, and a passion for freshwater conservation.
Applications are reviewed starting 2026-08-31. Applicants are directed to careers.msu.edu and should search for Job No. 1149929, or use the application link provided in the post.
Funding details
1.5-year postdoc position. The postdoc will work on two funded projects supported by the Mott Foundation and the National Science Foundation (NSF).
What's required
Applicants should be interested in community engagement, have strong analytical skills, and a passion for freshwater conservation. The postdoc is described as data-intensive and highly collaborative, with work translating research into action in partnership with communities.
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