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Weekly Update (11/17/2025)

ESPP News

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ESPP is now on Linkedin

Yes, we are on Linkedin. We hope to use this to better connect with our current students, alumni, and friends of the program. Our goal is to build a more complete and up-to-date alumni network—one that helps us stay in touch, share opportunities, and highlight how ESPP training supports our students’ career development. Calling all alumni and current students to follow us and add ESPP to your education profile.

Course Announcements

A list of courses that are offered by ESPP affiliated faculty members is now available on ESPP website.

Scholarships, Fellowships, and Funding Opportunities

Seminars, Workshops, and Other Events

Jobs and Training Opportunities

  • 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.

  • Postdoctoral Fellowship in AI-Driven Movement Ecology and Conservation of Large Mammals - University of Michigan | Deadline: November 30, 2025

    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.