Qualifications:
This position is open to advanced undergraduate or graduate students with a background in urban forestry, urban planning, landscape architecture, computer science, or related fields. Desired qualifications include: – Passion for urban green space planning/urban design and state-of-the-art technologies – Experience with Python programming (computer vision) – Enjoys hands-on and practical work – Able to use GIS mapping and analysis software (e.g., ArcGIS Pro, QGIS) and willing to expand upon these skills – Well-organized and skilled in project management – A self-starter who can work with minimal supervision – Able to organize and manage data at a basic level and willing to expand upon these skills – Proficient with common software programs, such as Microsoft Excel and Word – Friendly, positive and professional in communications with collaborators – Willing to contribute ideas and solutions.
Contributions to University Community & Student Learning Components (UBC Vancouver Work Learn Program)Required *
This position will contribute to the UBC community, particularly the urban forestry program in the Faculty of Forestry, by strengthening and demonstrating students’ research and analytical capacity. This study also addresses practical issues—unequal access to recreational resources–in the Vancouver community.
As a supervisor, I try to foster a welcoming learning environment that encourages a growth mindset, respect for diversity, analytical thinking, and peer-to-peer training. I recognize that historically, racial, ethnic, and gender diversity is lacking in urban forestry compared with other disciplines. One of my core training goals is to involve students of various backgrounds because I believe that diversity can generate more ideas. To promote an equitable, diverse, and inclusive learning environment, I recruit and mentor underrepresented students, allow flexible time management (e.g., accommodating family care time), enhance cross-cultural collaboration beyond my research group, and pursue research that benefits underrepresented communities (e.g., environmental justice, green equity, systemic bias in demographics).