One graduate research assistantship for the Ph.D. in Remote Sensing for Natural Resource Management is available in the Department of Forestry at Mississippi State University. The assistantship will include a stipend, 100% tuition waiver, and reimbursement for single coverage health insurance cost. The successful candidate will have the opportunity to work with NASA, USDA, and USGA projects through models with remote sensing observations from multiple platforms, including Landsat, VIIRS, ECOSTRESS and Planet. The expected start date is Spring 2023.
Candidates with research experience in remote sensing, machine learning, cloud computing and ecohydrological model, are highly desired. Ideal candidates would be with a M.S. or bachelor's degrees (with strong research background) in Geography, Environmental Science, natural resources, Remote Sensing, or other related disciplines.
Familiarity with the Google Earth Engine programming environment and Matlab/R/Python for data analysis.
If you are interested in these opportunities, please send your updated CV including your publications and contact information of three references to Dr. Yun Yang at firstname.lastname@example.org.
Review of the applications will begin immediately and will continue until the position is filled. A full application to the Graduate School will be required for an official offer to be made. Additional information can be found at the MSU Department of Forestry website
(https://www.cfr.msstate.edu/forestry/graduate.asp) and the MSU Office of Graduate School