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Sessional Lecturer – Quantitative Environmental Analysis

University of Toronto - Woodsworth College · Scarborough

Senior 🇬🇧 English
Python

Job description

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.

Questions fréquentes

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Published 3 months ago

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University of Toronto - Woodsworth College

Scarborough