Position Summary

The position provides support for a NASA funded research project. Knowledge and skills in spatial modeling, data/information synthesis of qualitative and quantitative data at multiple scales, and the manipulation and processing of geospatial data are expected. 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

Doctorate -landscape ecology, remote sensing of environment, spatial model, micrometeorology, land cover changes, or similar

Minimum Requirements

The successful candidate is required to have a PhD with a quantitative background by employment start date and first authored publication(s) in the peer reviewed literature.

Desired Qualifications

• Experience with interests in area of research project focus.
• Experience in quantitative analysis and field research.
• Experience with GEE and GIS modeling.
• Experience with large geospatial data.
• Good oral and written communication skills.
• Demonstrated ability to work in a team environment.
• Willingness to continue to write research articles.

Required Application Materials

• Full current CV.
• Cover letter.
• Names, positions, and contact information for two references.
• 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: jqchen@msu.edu.

Review of Applications Begins On

10/01/2024

Remote Work Statement

MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.

Website

http://lees.geo.msu.edu

Department Statement

We are committed to promoting diversity in research with respect for all research lab members.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.