This position is in support of NASA funded research that involves quantitative remote sensing, and manipulation and processing of large volume terrestrial satellite data.
Strong candidates will have experience with team work, satellite data processing, and will have published research in the peer reviewed remote sensing literature.
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.
Doctorate -Quantitative remote sensing
The successful candidate is required to have:
PhD in quantitative remote sensing
At least 3 years computer programming experience
First authored remote sensing publication(s) in the peer reviewed literature.
Experience using polar orbiting coarse resolution (e.g., MODIS or VIIRS) and moderate resolution (e.g., Landsat or Sentinel-2) satellite data.
Experience with commercial satellite data (e.g. Planetscope) and machine learning.
Experience programming using a compiled language and using scripts in a Linux environment.
Good oral and written communication skills.
Demonstrated ability to work in a team.
Willingness to continue to write research articles.
Required Application Materials
Applications should include:
Full current CV
Names, positions, and contact information for two referees
One published journal manuscript with primary authorship by the applicant
Appointment is contingent upon successfully completing a full background check. Women and minorities are strongly encouraged to apply. If you have questions about the position, please contact Dr. David Roy (firstname.lastname@example.org) and/or Dr. Geoffrey Henebry (email@example.com).
Review of Applications Begins On
http://geo.msu.edu and http://globalchange.msu.edu
The Department of Geography, Environment and Spatial Sciences and Center for Global Change and Earth Observations are committed to promoting diversity in research.
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