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PhD Assistantship: The influence of nutrition on movement and demography of bighorn sheep – Idaho
University of Idaho
The student will receive a graduate research assistantship that includes an annual salary of $20,831, tuition, and health insurance benefits for the first two and half years of the project, and will be supported on a teaching assistantship for the remaining year and a half.
Last Date to Apply
I am seeking an outstanding PhD student to help lead a study of the nutritional underpinnings of movement and demography of bighorn sheep in Idaho. The student will be part of collaborative team that includes faculty, students, and post-docs from the University of Idaho, and researchers, biologists, and managers from the Idaho Department of Fish and Game. The overarching goal of the project is to understand whether and how patterns of movement and mortality (particularly lamb mortality) among and within several populations of bighorn sheep throughout Idaho are mediated by nutrition. The student should be prepared for intensive field work in rugged and remote areas, often in adverse conditions. Research will include the capture and handling of bighorn sheep from at least two different populations, intensive vegetation sampling to characterize the nutritional landscape available to sheep, and both statistical and simulation-based modeling of sheep movements using large location datasets obtained from GPS collars.
Preference will be given to applicants with (1) A MS degree (or equivalent research experience) in ecology, wildlife biology, conservation biology, or a related discipline, (2) previous field experience in wildlife ecology, (3) strong quantitative and GIS skills, (4) strong written and oral communication skills, evidenced by peer-reviewed publications and professional presentations, and (5) a demonstrated ability to work effectively both independently and as part of a collaborative team.
To apply please send in a single pdf, 1) a cover letter outlining your interests, experience, and career goals, 2) a CV, 3) GRE scores, 4) transcripts (unofficial are ok), and 5) contact information for three references to Dr. Ryan Long via email (preferred) at email@example.com. Review of applicants will begin immediately and will continue until a suitable applicant is found.