Postdoc position at LEES Lab Michigan State university

Position Summary

The position provides support for funded research focused on quantitative remote sensing, spatial modeling, data/information synthesis, and the manipulation and processing of terrestrial satellite data. We are seeking highly qualified candidates with the following skills and experience: machine learning, expertise in Google Earth Engine, proficiency in satellite data processing, strong programming abilities, and a demonstrated track record of publications.

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


Minimum Requirements

Successful candidate is required to have a PhD with a quantitative background and first authored publication(s) in the peer reviewed literature. PhD in: landscape ecology, remote sensing of environment, spatial model, micrometeorology, or land cover changes. 

Desired Qualifications

Experience with interests and experience in quantitative analysis and field research.

  • Experience with GEE and GIS modeling
  • Experience with commercial satellite data
  • Good oral and written communication skills
  • Demonstrated ability to work in a team
  • Willingness to continue to write research articles

Required Application Materials

The application should include: (i) cover letter; (ii) a full current CV; (iii) the names, positions, and contact information for two referees; and (iv) one or two published journal manuscripts with primary authorship by the applicant.

Special Instructions

For questions regarding this position, please contact Professor Jiquan Chen at