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.
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.
Doctorate -landscape ecology, remote sensing of environment, spatial model, micrometeorology, land cover changes, or similar
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.
For questions regarding this position, please contact Professor Jiquan Chen at: jqchen@msu.edu.
10/01/2024
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.
http://lees.geo.msu.edu
We are committed to promoting diversity in research with respect for all research lab members.
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.
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