Position Summary

Michigan State University (MSU) actively promotes a dynamic research and learning environment in which qualified individuals of differing perspectives and cultural backgrounds pursue academic goals with mutual respect and shared inquiry. MSU is located in East Lansing, Michigan, with easy access to the state capital, Lake Michigan, Detroit, and Chicago.

Kyla Dahlin in the Department of Geography, Environment, and Spatial Sciences () is seeking a Research Associate (Postdoctoral Fellow) for a 1-year position, with the potential for renewal for a second year. The position is available starting as soon as December 1, 2024. The Research Associate will work with Dr. Dahlin and the Ecological Remote Sensing and Modeling Lab group (ERSAM Lab; ) on a National Science Foundation CAREER award project focusing on mapping disturbances and estimating forest carbon uptake in the eastern United States with remote sensing and radiative transfer modeling.

The researcher will be part of a strong interdisciplinary team of researchers, graduate and undergraduate research assistants, and an engaging community of scholars at MSU interested in ecology and biodiversity (e.g., the Ecology, Evolution, and Behavior Program; ) They will have the opportunity to both lead research projects related to ecological remote sensing and carbon modeling and participate in collaborative publications. This person will also participate in the planning and running of the Spectral Ecology Summer School ('SPEC School'; ) which is a field course aimed at introducing graduate students and postdocs to ecological remote sensing tools and concepts. The Research Associate will have opportunities to mentor both undergraduate and graduate students, to teach course modules, if desired, and to participate in professional development opportunities.

Applicants must have defended their dissertation prior to beginning the postdoctoral fellowship. A doctoral degree in ecology, geography, biology, forestry, or a related field is required. Candidates must have (1) strong skills in quantitative data analysis, especially using remotely sensed data, (2) experience writing for an academic audience, (3) interest in forest disturbance and ecological remote sensing, and (4) good organization and time management skills. Prior publications and teaching experience will enhance the application.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Doctorate -Ecology, Geography, Biology, Forestry, or related field

Minimum Requirements

• Doctorate in ecology, geography, biology, forestry, or a related field by the start date. (Applicants must have defended their dissertation prior to beginning the postdoctoral fellowship)
• Excellent quantitative data analysis skills.
• Experience with remote sensing analyses in R, python, and/or Google Earth Engine.
• Strong skills in scholarly and non-technical writing.
• Record of scholarly productivity.
• Good organization and time management skills.
• Ability to work in interdisciplinary team settings as well as independently.
• Interest in mentoring graduate students.
• Participation in SPEC School will require some travel and field work, including hiking across uneven terrain, lifting and carrying up to 45 lb packs, and the ability to record detailed scientific measurements.
• Must have a valid US driver's license.