PhD Graduate Research Assistantship
Landscape Fitness & Migratory Connectivity for Wildlife Conservation
Utah State University, Brigham Young University, and Utah Division of Wildlife Resources
Position Type: PhD Graduate Research Assistant
Duration: 4 Years (with potential to extend pending additional funding)
Stipend: $28,000/year + Tuition Waiver
Start Date: Fall 2026 or Spring 2027 (Fall 2026 preferred)
Project Overview
We are seeking a highly motivated PhD student to join a collaborative, multi-institutional research team focused on advancing our understanding of energetics, fitness, and migratory connectivity across Utah's diverse landscapes. This position is part of a partnership between Utah State University (USU), Brigham Young University (BYU), and the Utah Division of Wildlife Resources (UDWR), reflecting the strong commitment to science-driven conservation and wildlife management in the state.
Two of the dissertation chapters will address existing applied questions within the state of Utah, but there will be substantial flexibility in addressing questions of interest to the candidate for the remaining dissertation chapters. To address the existing questions, the successful candidate will develop and apply novel spatial and analytical methods to evaluate fitness metrics across mule deer seasonal ranges and movement corridors using 10+ years of data on body condition, movement, recruitment, and survival. Additionally, the candidate will evaluate the landscape's capacity to support deer energetic demands throughout the annual cycle. These results will be used to identify areas of disproportionate conservation and management importance, including critical summer ranges, winter ranges, and migration corridors. Results will directly inform UDWR's herd management plans and contribute to statewide and regional mule deer conservation strategies.
Research and Project Objectives
· Quantify fitness metrics in mule deer across the landscape using field-based body condition assessments and remote sensing proxies tied to forage quality and availability.
· Map the spatial distribution of different fitness components, identifying areas of high and low productivity across summer range, winter range, and migration corridors.
· Identify areas of disproportionate conservation importance relative to fitness metrics: highly productive summer and winter ranges, critical migration corridors, and nutritional bottlenecks limiting population performance.
· Translate findings into actionable conservation and habitat management recommendations for UDWR herd management units across Utah.
Position Responsibilities
· Develop spatial models and GIS-based analyses integrating fitness data with landscape and habitat covariates.
· Manage and curate large ecological datasets and contribute to collaborative data-sharing platforms.
· Collaborate closely with advisors, agency biologists, and partner institutions; attend regular team meetings.
· Mentor undergraduate researchers and contribute to lab and department activities.
· Prepare and submit peer-reviewed manuscripts, technical reports, and grant proposals.
Required Qualifications
· M.S. degree in wildlife biology, ecology, mammalogy, or a closely related field by the start date (exceptional B.S. applicants with relevant experience may be considered).
· Experience with large mammal field work
· Demonstrated quantitative skills and experience with statistical analysis in R, Python, or equivalent.
· Strong written and oral communication skills, as evidenced by publications, theses, or professional presentations.
· Demonstrated experience working with a diversity of academic and agency personnel with different values, opinions, and expertise.
· Ability and willingness to conduct strenuous field work in remote environments, including early mornings, inclement weather, and extended field campaigns.
· Valid driver's license and ability to operate 4WD vehicles on primitive roads.
Preferred Qualifications
· Familiarity with landscape ecology, GIS/remote sensing, and spatial modeling (e.g., occupancy models, integrated population models).
· Prior collaborative work with state/federal wildlife agencies.
· Record of peer-reviewed publication(s).
· Experience working in collaborative, multi-institutional research environments.
Compensation
· Annual stipend: $28,000/year for 4 years (with some cost of living increases), contingent on satisfactory academic progress. Potential for extension beyond 4 years pending additional funding.
· Full tuition waiver at USU
· Health insurance coverage per university graduate student policy.
· Travel funding to present at national and regional scientific conferences.
· Access to field equipment and computational resources at USU, BYU, and UDWR.
Collaborative Team
This position is part of an integrated research team spanning three institutions:
· Utah State University (USU); primary degree-granting institution
· Brigham Young University (BYU); collaborating institution providing expertise in ungulate ecology and fitness
· Utah Division of Wildlife Resources (UDWR); agency partner providing field logistical support, expertise in ungulate ecology and fitness, owners of 10+ year dataset of movement and fitness metrics on mule deer from across the state of Utah, and direct management application for research outcomes.
The student primarily will be advised by Dr. Tayler LaSharr (USU), but will also be mentored by and collaborate closely with Dr. Kent Hersey (UDWR), Makeda Hanson (UDWR), Dr. Randy Larsen (BYU), Dr. Brock McMillian (BYU), and Dr. Kezia Manlove (USU), in addition to many other academic and agency collaborators.
How to Apply
Interested applicants should submit the following materials as a single PDF to tayler.lasharr@usu.edu with the subject line "LASTNAME – PhD Application – Landscape Fitness" (please copy the “–” and spacing exactly so your email does not get removed when sorting in the inbox):
· Cover letter describing your research interests, relevant experience, and how this position aligns with your career goals (max 1 page).
· Curriculum vitae, including GPA and GRE scores if available.
· Contact information for three professional references (letters may be requested at a later date).
· One writing sample (e.g., thesis chapter, published manuscript, or technical report).
Review of applications will begin on June 22nd and continue until the position is filled.