Position: PhD Assistantship in Developing and Testing Species Distribution Models for Imperiled Stream Fishes in Virginia
Project: Innovative development, field verification, and refinement of multi-scale habitat suitability models to predict range-wide occurrence (presence/absence) of imperiled Candy Darter and Slender Chub
Location: Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA
Responsibilities: Help compile existing data, develop predictive models, lead field surveys, and finalize the models to characterize detectability and range-wide distributions of Candy Darter and Slender Chub to inform their conservation. Conduct field-validation studies to relate Candy Darter and Slender Chub detection and occupancy to suites of biophysical features. Conduct data analyses, write reports, develop public presentations, and publish peer-reviewed papers related to these studies. Complete relevant coursework. Dissertation will be co-advised by Paul Angermeier and Emmanuel Frimpong and will involve significant collaboration with Virginia Department of Wildlife Resources, US Fish and Wildlife Service, and other agencies.
Qualifications: Completed MS in fish/stream ecology, with landscape and conservation emphasis; working knowledge of habitat assessment and geospatial analysis; ability to work independently and in a team, and to publish research findings; strong writing, speaking, and statistical skills; highly motivated. Ready to start PhD work in January 2022.
Salary: $26,500 - $27,500/year plus tuition.
Closing Date: 27 November 2021.
Contact: Send a single pdf that includes a) letter of interest (2-page maximum), b) curriculum vitae, c) GRE scores (if available), d) sample of scientific writing (e.g., a first-authored manuscript in preparation or a published paper, and e) contact information for three references who know your research competencies and interests to:
Paul L. Angermeier, Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA 24061-0321; 540-231-4501; firstname.lastname@example.org. The selected applicant will need to apply formally to the Virginia Tech Graduate School before acceptance.
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