PhD Position: Wolf Population Dynamics and Monitoring – Alaska

University of Alaska-Fairbanks
Fairbanks, AK (w/ field work at Prince of Wales Island, AK)
Job Category
Graduate Assistantships
Approx. $30,000 + tuition
Start Date
Last Date to Apply
We are seeking a Ph.D. student to lead a collaborative project between the Alaska Department of Fish and Game and the University of Alaska-Fairbanks to improve our understanding of population dynamics and to develop a robust monitoring framework for wolves in southeastern Alaska. The project (contingent on funding) will take place primarily on Prince of Wales Island and will entail the use of 1) remote cameras and recently developed analytical frameworks to estimate wolf abundance from camera imagery, 2) the application of novel analytical approaches to non-invasively collected genetic samples as an alternative abundance estimation approach, and 3) inferences gained from #1 and #2 to improve our understanding of wolf population dynamics and to develop and optimize a robust monitoring program for wolves in this coastal archipelago. The student will be supervised by Dr. Shawn Crimmins (University of Alaska-Fairbanks) and Dr. Gretchen Roffler (Alaska Department of Fish and Game). The student will be based in the Alaska Cooperative Fish and Wildlife Research Unit in Fairbanks, but will spend extensive time in and around Prince of Wales Island for data collection. The student will be responsible for coordinating field efforts and for testing novel approaches for abundance estimation and monitoring that could be applied not only to wolves, but potentially to Sitka black-tailed deer and other carnivore species.
Required qualifications: M.S. degree is wildlife biology, ecology, or equivalent, strong academic record (GPA > 3.0, GRE > 50th percentile) and professional background, ability to work with a diverse group of stakeholders (landowners, agency personnel, academic personnel), ability to work in adverse field conditions and contribute to logistical development and project implementation. Preferred qualifications: experience with population and/or demographic modeling, background in Bayesian statistics, experience with remote camera surveys, interest in applied research, wildlife monitoring, and population ecology. To apply please send a CV, cover letter, transcripts (unofficial are acceptable at this time), GRE scores, and contact information for three references to Dr. Shawn Crimmins.
Contact Person
Shawn Crimmins
Contact eMail
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