PhD Assistantship - Large Scale Change Monitoring from Multisource Imagery at NC State University
The Spatial Ecosystem Analytics Lab at North Carolina State University seeks a creative, motivated Ph.D. student with an interest in remote sensing, land cover/land use change, and ecosystem dynamics. The position will begin Fall 2021 and is funded for four years at $25,000/year, plus benefits and tuition support, through the cutting-edge Ph.D. program in Geospatial Analytics offered by NC State’s Center for Geospatial Analytics.
The selected applicant will join a research group devoted to answering questions of broad significance through innovative use of remotely sensed imagery. The student will be part of an interdisciplinary and multi-institutional team building a system to monitor and characterize change over huge spatial scales using heterogeneous satellite imagery. It is expected that the student will develop research questions and a project tailored to their unique interests and career goals.
The Center for Geospatial Analytics at NC State is an internationally recognized hub for interdisciplinary data scientists pushing the boundaries of spatial data science to advance discovery and inform real-world decision-making. Students in the Ph.D. program receive multidisciplinary advising and the opportunity to work with over thirty faculty fellows with diverse expertise from over a dozen departments across NC State.
To apply, complete the application at grad.ncsu.edu/apply by February 1, 2021. Applicants should have experience in remote sensing and coding.
For more information about the position, contact Josh Gray (firstname.lastname@example.org) and include a copy of your CV. Additional details about the Ph.D. program in Geospatial Analytics and complete application instructions are available at go.ncsu.edu/geospatial-phd. Interested students are also encouraged to contact Rachel Kasten, Graduate Services Coordinator (email@example.com or 919-515-2800), with questions about the program or to explore additional opportunities.