Sessional Lecturer – Quantitative Environmental Analysis

About the role

The University of Toronto Scarborough seeks a qualified Sessional Lecturer to teach EES1119H – Quantitative Environmental Analysis during the Fall 2026 term. This 0.5‑FCE course introduces ecological statistics and data analysis techniques to a cohort of approximately 25 students.

Key responsibilities

• Prepare and deliver 3 hours per week of lectures and tutorials covering variance analysis, regression, structural equation modeling, ordination, classification, and basic Bayesian methods.
• Design and grade examinations, term tests, and assignments.
• Guide students in applying statistical methods to real‑world environmental datasets.
• Maintain course materials and update content as needed.

Required profile

• PhD in Environmental Statistics, Informatics, or a closely related field.
• Research experience with peer‑reviewed publications in quantitative ecology.
• Demonstrated teaching experience at the university level.

Required skills

• Advanced programming in R.
• Advanced programming in Python.

What we offer

• Competitive sessional salary rates as defined by the collective agreement.
• Opportunity to teach a specialized course in a vibrant, interdisciplinary environment.
• Access to university resources and support for instructional development.