Sessional Lecturer - EES1119H

Date Posted: 06/16/2025
Req ID: 43589
Faculty/Division: UofT Scarborough
Department: UTSC:Dept-Physical & Environmental Sci
Campus: University of Toronto Scarborough (UTSC)

Course number and title:   EES1119H - Quantitative Environmental Analysis

Course description:  This course provides an introduction to the field of ecological statistics. Students will become familiar with several methods of statistical analysis of categorical and multivariate environmental data. The course will provide a comprehensive presentation of the methods: analysis of variance, regression analysis, structural equation modeling, ordination (principal component & factor analysis) and classification (cluster & discriminant analysis) methods, and basic concepts of Bayesian analysis. Emphasis will be placed on how these methods can be used to identify significant cause-effect relationships, detect spatiotemporal trends, and assist environment management by elucidating ecological patterns (e.g., classification of aquatic ecosystems based on their trophic status, assessment of climate variability signature on ecological time series, landscape analysis). The course will consist of 2 hr-lectures/tutorials where the students will be introduced to the basic concepts of the statistical methods and 2-hr lab

Estimated course enrolment: 38

Number of Hours: 0.5 FCE 

Sessional dates of appointment: Specific duties will occur between September 1, 2025 and December 31, 2025.  

Salary:  Starting September 1, 2025 the following rates of pay apply for half courses (F or S), inclusive of vacation pay: $9,820.70 for a Sessional Lecturer I; $10,510.04 for a Sessional Lecturer I-Long Term; $10,510.4 for a Sessional Lecturer II; $10,760.23 for an Sessional Lecturer II-Long Term; $10,760.23 Sessional Lecturer III; and $11,030.34 for a Sessional Lecturer III-Long Term. Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. The rate of pay is established by the Collective Agreement between Canadian Union of Public Employees (CUPE), Local 3902 Unit 3 and the University of Toronto. 

Minimum qualifications:  PhD degree in Environmental Statistics and/or Informatics.
Research experience and peer-reviewed publications in quantitative ecology. The selected candidate should have advanced programming skills in R or Python and significant experience with model-based management of biodiversity and species-at-risk problems.

 Past teaching experience is a more relevant criterion than the need to acquire experience in respect of this posted position.  

Preferred qualifications:  

Description of duties:  

Preparation of lectures and labs, lecturing, creation of exams, term tests and assignments, marking and marks management and participation in the instructor/course evaluation process by the students.

FALL TERM COURSE - September through December 2025

Lectures are currently scheduled on Tuesdays 13:00-16:00

We can't adjust the lecture schedule, so please only apply if you are available during the times above.  

Application Procedures: 

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment; 

Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the CUPE 3902 Unit 3 collective agreement; Consequently, they should not apply for positions posted under the Unit 3 collective agreement. 

All applicants who wish to be considered for a particular position must submit an application form and an updated curriculum vitae (including a valid email address) through the online application system: https://www.utsc.utoronto.ca/webapps/cupehiring/dept/envu/app/sl 

The University strives to be an equitable and inclusive community and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. 

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. 

If you require any accommodations at any point during the application and hiring process, please get in touch with Annie Kostadinova at dpes-undergrad.utsc@utoronto.ca. 

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons/persons of colour, women, Indigenous/Aboriginal People of North America, persons with disabilities, LGBTQ persons and others who may contribute to the further diversification of ideas. 

All qualified applicants are encouraged to apply; however, Canadians and permanent residents will be given priority. 

Closing Date: 07/09/2025, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.