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University of Alberta

Human Dimensions Research Associate

University of Alberta

Research Associate conducting research on human-wildlife interactions and mentoring in the Human Dimensions Research Lab. Collaborating on projects addressing conservation and public health challenges.

Posted 5/27/2026full-timeEdmonton • 🇨🇦 CanadaJuniorMid-Level💰 CA$63,465 - CA$71,402 per yearWebsite

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Hard Skills
statistical modelingsocial-ecological systemsmultivariate analysissystematic reviewsevidence synthesisqualitative data collectionquantitative data collectionmultivariate statistical modellingeconometric approachesdiscrete choice modelling
Soft Skills
mentorshipinterpersonal skillsleadership skillscollaborative researchcommunication skillscommitment to equitycommitment to diversitycommitment to inclusion
Tools & Technologies
RNLOGITNgene
Certifications & Qualifications
Ph.D. in Conservation SciencesPh.D. in Human Dimensions of Natural Resources
Industry Keywords
wildlife diseasesgrassland conservationwetland conservationNorth American Waterfowl Management Plancoyotespublic healthhunting-related professionalswildlife managementwildlife habitat conservationsocial science approaches

About the role

Key responsibilities & impact
  • Conduct original research that quantifies risk perceptions about wildlife diseases.
  • Identify social correlates of grassland conservation.
  • Explore variations in waterfowl hunters’ worldviews with regards to wetland and waterfowl conservation.
  • Provide mentorship in social-psychological modeling, social-ecological systems, and advanced multivariate analysis to graduate students and postdoctoral fellows.
  • Work in collaboration with, and report directly to, the Principal Investigator of the Human Dimensions Research Lab.
  • Co-lead the broader investigation of “Social-ecological challenges at the human-wildlife interface: Coyotes, zoonotic disease and public health.

Requirements

What you’ll need
  • An earned Ph.D. in Conservation Sciences or Human Dimensions of Natural Resources, or a closely related field, with a focus on statistical modeling, social-ecological systems, and applied conservation.
  • Have at least four years of post-doctoral scholarship experience.
  • Knowledge of conservation of species and habitats in wetland and grassland contexts.
  • Knowledge of the disease risk landscape associated with coyotes.
  • Direct experience of working with hunters and hunting-related professionals.
  • Demonstrated expertise in designing and completing systematic reviews and evidence synthesis.
  • Demonstrated expertise in developing and administering qualitative and quantitative social data collection, including large scale surveys, focus groups, expert elicitation workshops, interviews, and cognitive interviews.
  • Expert at preparing datasets for analysis.
  • Expertise in multivariate statistical modelling, including GLMs and factor analysis.
  • Advanced expertise in econometric approaches, including discrete choice modelling and contingent valuation.
  • Proficiency in R, NLOGIT, and Ngene programming for statistical modeling.
  • Direct experience of working with North American Waterfowl Management Plan partner organizations.
  • Experience working in, and leading interdisciplinary research teams, specifically that seek to integrate knowledge from social and natural sciences (particularly ecology).
  • Have a strong record of publishing and presenting scientific research to interdisciplinary audiences on topics related to wildlife management and wildlife habitat conservation in a variety of contexts.
  • Experience communicating social science approaches and outcomes to non-social scientists.
  • Strong interpersonal and leadership skills, with experience fostering collaborative research environments and mentoring early-career researchers or students in interdisciplinary human dimensions research.
  • Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion.

Benefits

Comp & perks
  • Comprehensive benefits package