Weekly Update (12/01/2025)
Course Announcements
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FSC 844: Risk Assessment of Foodborne Chemicals and Toxins
Dr. Felicia Wu will offer this course in Spring 2026. Globally, foodborne chemicals and toxins such as arsenic, cadmium, lead, mercury, aflatoxin, and dioxin cause over hundreds of thousands of additional cancer cases; as well as cardiovascular disease, immune system dysfunction, gastrointestinal illnesses, and acute illness and mortality at high doses. This course will cover the major chemicals and toxins of concern in our food supply, as well as how to assess their risks to human health and how to manage and counteract those risks.
A list of courses that are offered by ESPP affiliated faculty members is now available on ESPP website.
Scholarships, Fellowships, and Funding Opportunities
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Great Lakes Fisheries Graduate Fellowship | Deadline: December 5, 2025
The William W. Taylor & Henry A. Regier Great Lakes Fisheries Graduate Fellowship supports MSU graduate students conducting research on the sustainability of fish, wildlife, and water resources, with a focus on the Great Lakes and human–environment connections. For further information pertaining to this fellowship, please contact tgsawards@grd.msu.edu.
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2026 Water Prediction Innovators Summer Institute | Deadline Jan 12, 2026
The Consortium of Universities for the Advancement of Hydrologic Science (CUAHSI) is seeking graduate student fellows to join the 2026 Water Prediction Innovators Summer Institute, June 8 - July 22, 2026. Fellows will collaborate with peers nationwide on water prediction. Students looking to build their skills and network are encouraged to apply.
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CIGLR accepting proposals for 2026 Partner Programs | Deadline: Jan 31, 2026
CIGLR is accepting proposals from Regional Consortium members for a suite of programs that aim to build collaborative partnerships through career development opportunities, visionary science, and impactful outreach. The opportunity includes Postdoctoral Fellowships, Graduate Research Fellowships, Summits and Working Groups support, ECO support, and Seed Funding. Please visit the full program announcements linked below for descriptions, eligibility, and application information. More information can also be found on the CIGLR website. Contact CIGLR Managing Director Mary Ogdahl with questions.
Seminars, Workshops, and Other Events
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Spartan Wellbeing Summit: Call for Student Posters | Deadline, December 14, 2025
Have you worked on a project that that aims to advance health and wellbeing at MSU? Share it at the Spartan Wellbeing Summit on Thursday, February 26, 2026! Whether it’s research, advocacy, or a campus initiative, University Health and Wellbeing (UHW) and the Spartan Wellbeing Collective want to showcase your idea.
Jobs and Training Opportunities
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Tenure-Track faculty position in remote sensing of the built environment
The Department of Geography at Texas A&M University is hiring a scholar who is experienced in the use of remote sensing to study the built environment. The Department views the study of the built environment (broadly understood as urban areas and critical physical infrastructure) and the use of remote sensing as important scholarly areas. This position will enrich the growing research activity on urban areas and critical infrastructure in the department, the college, and the university. It will also support the department’s undergraduate and graduate programs as well as the college-level Environmental Programs and a graduate certificate program in Geospatial Intelligence. The full ad and the link to apply is here.
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Research activities will include the development and application of advanced deep learning frameworks to model and predict animal movement and habitat selection. The fellow will integrate spatially and temporally explicit environmental covariates (e.g., NDVI, vegetation structure, topography, seasonality), enabling nuanced exploration of how landscape features and dynamic conditions influence animal movement decisions at multiple scales. Research will involve constructing, training, and evaluating AI models capable of simulating realistic movement trajectories, identifying patterns in resource selection, and revealing how animals interact with variable or human-modified environments. Reach out to Neil Carter to determine research fit.