Ph.D. Assistantship in Winter Weather at NC State
The Environment Analytics group at North Carolina State University seeks a creative, motivated Ph.D. student with strong quantitative and analytical skills to study the complex interactions within snow storms and wintery mix storms. Research will address applied and basic research topics using remote sensing and in situ observations including satellite data, weather radar data, and a snowflake camera. The position will begin Fall 2019 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 (geospatial.ncsu.edu). The student will be encouraged to develop research questions and a project tailored to their unique interests and career goals.
The Center for Geospatial Analytics is an internationally recognized collaborative hub for interdisciplinary data scientists advancing novel understanding of spatial phenomena and applying new knowledge to grand challenges. Students in the Ph.D. program receive multidisciplinary advising and the opportunity to work with over twenty faculty fellows with diverse expertise from nearly a dozen departments across NC State. Students also engage in experiential learning through an off-campus professional internship.
Review of applications will begin immediately and continue until the position is filled. To apply, complete the application at grad.ncsu.edu/apply. Applicants should hold a degree in ecology, forestry or a related discipline.
For more information about the position, contact Dr. Sandra Yuter (email@example.com) 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 (firstname.lastname@example.org or 919-515-2800), with questions about the program or to explore additional opportunities.