CUPE Positions (Unit 1)

Assistant Invigilators 

Assistant Invigilators at the University of Toronto, Department of Statistical Sciences are responsible for the general assistance in the delivery of examinations for some undergraduate and graduate courses for the Fall, Winter, and Summer sessions.

Applications for assistant invigilator positions are collected in: 

  • September for Fall/Winter positions 

  • May for Summer positions 

In order to apply to become an assistant invigilator please complete this application package: 

  • Please complete the application form.
  • Please include your curriculum vitae/resume in your application.
  • Please include your timetable in your application.

Send your completed application package to Angela Niazmand with the title “Assistant Invigilator Application Package”: 

Angela Niazmand
Department of Statistical Sciences 
700 University Avenue, Room 9160-6
Toronto, Ontario, M5G 1Z5

For more information about the role and duties of an assistant invigilator, please contact jobapps.statistics@utoronto.ca.

There are currently no available positions. 

Any positions posted here have also been posted to the CUPE3902 Unit 1 website.

 

Course Instructors

Course Instructors at the University of Toronto, Department of Statistical Sciences are responsible for, but not limited to, the teaching, setting and invigilation of term tests and final examinations, reporting of final grades, counseling of students, and supervising of teaching assistant(s) of undergraduate courses for the fall, winter, and summer sessions.

In order to apply for course instructor positions, please complete this application package:

  • Please add your curriculum vitae/resume to your application, including previous teaching evaluations (if applicable).
  • Please include your cover letter in your application.
  • Please include two references in your application.

Send your completed application package to Angela Niazmand with the title “Course Instructor Application Package - [Course Code of the Course you are applying for]”:

Angela Niazmand
Department of Statistical Sciences 
700 University Avenue, Room 9160-6
Toronto, Ontario, M5G 1Z5

For more information about the duties of a course instructor, please contact jobapps.statistics@utoronto.ca.

There are currently no available positions. 

Any positions posted here have also been posted to the CUPE3902 Unit 1 website.

 

Teaching Assistants 

Teaching Assistants at the U of T Department of Statistical Sciences are responsible for, but not limited to, the grading of term tests, invigilation of term tests and final exams, grading of homework and/or quizzes, and setting of tutorial quizzes of undergraduate and graduate courses for the fall, winter, and summer sessions.

To apply, please read and carefully follow the application process below:

  1. Visit our DoSS website to view available postings: Information on duties, qualifications, and hiring criteria can be found in the pdf document of each job posting. Be sure to review these qualifications and criteria prior to applying.
  2. Sign into the Online TA Application Portal using your UTORid and password.
  3. Once you are logged into the Application Portal, you will have the ability to update your profile information by navigating to My Profile under the top bar menu. Ensure that the following information: contact information, program information, CV/resume, and current status, are all up to date. All information must be filled in.
  4. After you update your profile information, you can visit Available Rounds to apply for any open positions. Here, your profile information will automatically populate the application. You will need to indicate the courses for which you are applying under Course Preferences and supplement your application with the available text-input prompts.

Preference is generally given to applicants with strong academic qualifications and who can demonstrate that they meet the required qualifications and hiring criteria associated for each position. Successful applicants tailor their CV and application to the specific courses they are applying for, clearly demonstrating why they are well-suited for the role and highlighting how their skills and experience make them strong candidates in relation to the job qualifications.

    **Note: For some courses, you may be expected to attend lectures. Please refer to the U of T Faculty of Arts and Science Timetable for information on course meeting sections for Fall/Winter and Summer courses.

    Angela Niazmand 
    Department of Statistical Sciences 
    700 University Avenue, Room 9160-6
    Toronto, Ontario, M5G 1Z5

    Email: jobapps.statistics@utoronto.ca

     

    For more information about the duties of a teaching assistant, please contact jobapps.statistics@utoronto.ca.

    Current Teaching Assistant (TA) Job Posting 

    F2025-26 ELL TA Job Posting Regular Round

    Course Code Session Section Title Deadline to Apply
    ACT371H1 F L5101 ELL TA Basic Reserving Methods For P&C Insurance July 9, 2025
    ACT372H1 S L5101 ELL TA Basic Ratemaking Methods For P&C Insurance July 9, 2025
    STA304H1 F L0101& L0201 ELL TA Surveys, Sampling and Observational Data July 9, 2025

     

    F2025-26 TA Job Posting Regular Round

    Course Code Session Section Title Deadline to Apply
    STA130H1 F&S Lead TA An Introduction to Statistical Reasoning and Data Science July 18, 2025
    STA257H1 F Lead TA Probability and Statistics I July 18, 2025
    NCSAC Y N/A New College Statistics Aid Centre July 18, 2025
    SSSAC Y N/A Sidney Smith Statistics Aid Centre July 18, 2025
    ACT100H1 F L0101 Wizard Managers of Risks: Exploring Actuarial Science July 18, 2025
    ACT230H1 F L0101 Mathematics of Finance for Non-Actuaries July 18, 2025
    ACT240H1 F L0101 Mathematics of Investment & Credit July 18, 2025
    ACT460H1 F L0101 Stochastic Methods for Actuarial Science July 18, 2025
    STA130H1-MORTUT F Morning Tutorials An Introduction to Statistical Reasoning and Data Science July 18, 2025
    STA130H1-AFTTUT F Afternoon Tutorials An Introduction to Statistical Reasoning and Data Science July 18, 2025
    STA197H1 F L0101 Thinking Better with Statistics July 18, 2025
    STA198H1 F L0101 Probabilities Everywhere July 18, 2025
    STA199H1 F L0101 Statistical Evidence: Truth or Myth? July 18, 2025
    STA220H1 F L0101 The Practice of Statistics I July 18, 2025
    STA220H1 F L5101 The Practice of Statistics I July 18, 2025
    STA237H1 F L0101 Probability, Statistics and Data Analysis I July 18, 2025
    STA237H1 F L0201 Probability, Statistics and Data Analysis I July 18, 2025
    STA237H1 F L0301 Probability, Statistics and Data Analysis I July 18, 2025
    STA237H1 F L0401 Probability, Statistics and Data Analysis I July 18, 2025
    STA237H1 F L5101 Probability, Statistics and Data Analysis I July 18, 2025
    STA237H1 F L5201 Probability, Statistics and Data Analysis I July 18, 2025
    STA257H1 F L0101 Probability and Statistics I July 18, 2025
    STA257H1 F L0201 Probability and Statistics I July 18, 2025
    STA302H1 F L0101 Methods of Data Analysis I July 18, 2025
    STA302H1 F L0201 Methods of Data Analysis I July 18, 2025
    STA302H1 F L0301 Methods of Data Analysis I July 18, 2025
    STA302H1 F L5101 Methods of Data Analysis I July 18, 2025
    STA304H1 F L0101 Surveys, Sampling and Observational Data July 18, 2025
    STA304H1 F L0201 Surveys, Sampling and Observational Data July 18, 2025
    STA305H1 F L5101 Design and Analysis of Experiments July 18, 2025
    STA313H1 F L0101 Data Visualization July 18, 2025
    STA313H1 F L0201 Data Visualization July 18, 2025
    STA313H1 F L0301 Data Visualization July 18, 2025
    STA314H1 F L5101 Statistical Methods for Machine Learning I July 18, 2025
    STA347H1 F L0201 Probability July 18, 2025
    STA410H1 F L5101 Statistical Computation July 18, 2025
    STA457H1 F L0101 Time Series Analysis July 18, 2025
    STA2112H F L0101 Mathematical Statistics I July 18, 2025
    STA2503H F L0101 Applied Probability for Mathematical Finance July 18, 2025
    STA2530H F L0101 Applied Time-Series Analysis July 18, 2025
    ACT245H1 S L0101 Financial Principles for Actuarial Science I July 18, 2025
    ACT247H1 S L0101 Introductory Life Contingencies July 18, 2025
    ACT370H1 S L0101 Financial Principles for Actuarial Science II July 18, 2025
    JSC270H1 S L0101 Financial Principles for Actuarial Science II July 18, 2025
    STA130H1-MORTUT S Morning Tutorials  An Introduction to Statistical Reasoning and Data Science July 18, 2025
    STA130H1-AFTTUT S Afternoon Tutorials An Introduction to Statistical Reasoning and Data Science July 18, 2025
    STA220H1 S L0101 The Practice of Statistics I July 18, 2025
    STA221H1 S L0101 The Practice of Statistics II July 18, 2025
    STA238H1 S L0101 Probability; Statistics and Data Analysis II July 18, 2025
    STA238H1 S L0201 Probability; Statistics and Data Analysis II July 18, 2025
    STA238H1 S L0301 Probability; Statistics and Data Analysis II July 18, 2025
    STA238H1 S L5101 Probability; Statistics and Data Analysis II July 18, 2025
    STA255H1 S L0101 Statistical Theory July 18, 2025
    STA272H1 S L0101 Statistical Models for Data Science July 18, 2025
    STA288H1 S L5101 Statistics and Scientific Inquiry in the Life Sciences July 18, 2025
    STA302H1 S L5101 Methods of Data Analysis I July 18, 2025
    STA303H1 S L0101 Methods of Data Analysis II July 18, 2025
    STA303H1 S L0201 Methods of Data Analysis II July 18, 2025
    STA305H1 S L0101 Design and Analysis of Experiments July 18, 2025
    STA305H1 S L0201 Design and Analysis of Experiments July 18, 2025
    STA313H1 S L0101 Data Visualization July 18, 2025
    STA313H1 S L0201 Data Visualization July 18, 2025
    STA314H1 S L0101 Statistical Methods for Machine Learning I July 18, 2025
    STA475H1 S L0101 Survival Analysis July 18, 2025
    STA2312H S L0101 Advanced Computational Methods for Statistics II July 18, 2025
    STA437H1 S L0101 Methods for Multivariate Data July 18, 2025

     

    Any positions posted here have also been posted to the CUPE3902 Unit 1 website.