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
Doctorate
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 [email protected]
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