PhD Wildlife Ecology and Conservation – South Dakota

South Dakota State University
Job Category
Graduate Assistantships
Last Date to Apply
Description: The Department of Natural Resource Management at South Dakota State University (SDSU; invites applications for a Ph.D. Assistantship to study applied wildlife management and the influence of landscape heterogeneity on population viability and management efficacy. Using Ring-necked Pheasants (Phasianus colchicus) as a model system, we will investigate how land use patterns impact pheasant space use, nest site selection, fecundity and survival. The focus of this PhD will be to use data from GPS and VHF collared females, to assess the impacts of landscape heterogeneity on Pheasant movement, space use, vital rates and population viability. This study is a collaboration between SDSU, the Applied Geospatial Science Lab at Bowling Green State University, and South Dakota Game Fish and Parks. This research is part of a broader long-term investigation of Pheasant Ecology in South Dakota, and the selected candidate will have the opportunity to collaborate with state and federal agency biologists in South Dakota and Minnesota. The graduate assistant will be encouraged to develop their own research questions related to the broader focus of this study, and will be given the flexibility to pursue independent research questions. The graduate assistant will also be required to present preliminary findings of their work at regional and national scientific conferences and to submit their work for publication prior to defending.
A Master’s degree or at least two years of experience in wildlife ecology, conservation or related discipline, strong GRE scores, an undergraduate and graduate (if applicable) GPA >3.0. and solid writing skills are essential. Because a major focus of this degree is in applied geospatial analysis for wildlife management, strong quantitative skills, a knowledge of applied statistics, and experience with GIS are required. Experience with remote sensing, Program R, Program MARK, Bayesian statistical analysis are also desirable, as is experience writing scientific papers for publication. A strong work ethic, a willingness to collaborate and the ability to work outside in extreme weather (-30 to +40 C°) conditions are also essential.
Contact Person
Andrew Gregory
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