Join us

This project aims to assess the potential of citizen science data for biodiversity conservation. The student will use long-term, spatially explicit data on butterfly abundance for tens of butterfly species, compiled through the eButterfly community science platform, to examine how local, landscape, and regional characteristics promote species persistence. Additional research directions that may be explored include: (i) Evaluating how participation in citizen science influences relationships between people and nature; (ii) Assessing the capacity of artificial intelligence tools to accurately classify butterflies; and (iii) Identifying hotspots of climatic risk for North American butterfly species.

Research (75%), Teaching (25%).

Essential Skills and Qualifications MSc degree in ecology, conservation science, data science, geography, applied statistics, mathematics, or a related field Strong research, leadership, and communication skills Canadian citizenship (current funding is sufficient only for domestic students) We might consider applicants for an MSc position, instead of two PhD positions. Note that a fast-track option from BSc to PhD is possible, but requires careful planning and a transition from MSc to PhD during the first year. Desirable Skills Statistical modelling Familiarity with GIS tools and spatial analyses Familiarity with software R and R Studio

The position is a full time (40-h/week) position and comes with teaching assistantship. Salary is guaranteed for 4 years.