CUPE 3902 Unit 1 represents teaching assistants, invigilators and course instructors. These positions are open to graduate students in the School of Graduate Studies, postdoctoral fellows and undergraduate students in the University of Toronto.
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 positions
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January for Winter positions
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May for all 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 Priya Sivathason with the title “Assistant Invigilator Application Package”:
We will shortly share a handbook, outlining duties of an assistant invigilator in detail. Check back soon.
Current Assistant Invigilator Job Postings
There are currently no available positions.
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 two references in your application
Send your completed application package to Priya Sivathason with the title “Course Instructor Application Package - [Course Code of the Course you are applying for]”:
For more information about the duties of a course instructor, please have a look at the Department of Statistical Sciences Instructor Handbook.
Current Course Instructor Job Postings
Undergraduate/Graduate
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.
We have modified the process for application to the role of Teaching Assistant within the Department of Statistical Sciences recently. Please follow the procedure indicated below:
- Visit our website to view the postings available: https://www.statistics.utoronto.ca/employment-opportunities/cupe-positions-unit-1.
- Sign into the new Online TA Application Portal: https://taships.iit.artsci.utoronto.ca/sta/login using your UTORid and password.
- 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. This information will include your contact information, program information, CV/resume, current status, and some additional information. All information must be filled in.
- 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.
**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: https://timetable.iit.artsci.utoronto.ca for Fall/Winter courses and https://timetable.iit.artsci.utoronto.ca/summer2020 for Summer courses.
Priya Sivathason
Department of Statistical Sciences
Sidney Smith Hall, Room SS 6025
100 St. George Street
Toronto, ON M5S 3G3
Email: job-apps@utstat.utoronto.ca
For more information about the duties of a teaching assistant, the Department of Statistical Sciences has a TA Handbook. Unfortunately, the TA Handbook is currently not available for download, but you may contact job-apps@utstat.utoronto.ca to be emailed a copy for your personal use.
Current Teaching Assistant (TA) Job Postings
UNDERGRADUATE/GRADUATE
Course Code |
Section(s) |
Session |
Title |
| ACT199H1 | L0101 | S | Decipher Financial Puzzles in the Media and Pop Culture |
| ACT230H1 | L0101 | F | Mathematics of Finance for Non-Actuaries |
| ACT240H1 | L0101 | F | Mathematics of Investment & Credit |
| ACT245H1 | L0101 | S | Financial Principles for Actuarial Science I |
| ACT247H1 | L0101 | S | Introductory Life Contingencies |
| ACT348H1 | L0101 | F | Advanced Life Contingencies |
| ACT349H1 | L0101 | F | Corporate Finance for Actuarial Science |
| ACT370H1 | L0101 & L2001 | S | Financial Principles for Actuarial Science II |
| ACT451H1/STA2500H | L0101 | F | Loss Models |
| ACT460H1/STA2502H | L0101 & L2001 | F | Stochastic Methods for Actuarial Science |
| ACT466H1/STA2505H | L0101 | S | Credibility and Simulation |
| STA130H1 | L0101 | F | An Introduction to Statistical Reasoning and Data Science |
| STA130H1 | L0201 | F | An Introduction to Statistical Reasoning and Data Science |
| STA130H1 | L0101 | S | An Introduction to Statistical Reasoning and Data Science |
| STA130H1 | L0201 | S | An Introduction to Statistical Reasoning and Data Science |
| STA201H1 | L0101 | S | Why Numbers Matter |
| STA220H1 | L0101 | F | The Practice of Statistics I (Environmental Sciences) |
| STA220H1 | L0201 | F | The Practice of Statistics I (Health & Life Sciences) |
| STA220H1 | L0301 | F | The Practice of Statistics I |
| STA220H1 | L5101 | F | The Practice of Statistics I |
| STA221H1 | L0101 | S | The Practice of Statistics II |
| STA237H1 | L0101 | F | Probability, Statistics and Data Analysis I |
| STA237H1 | L5101 | F | Probability, Statistics and Data Analysis I |
| STA237H1 | L0101 | S | Probability, Statistics and Data Analysis I |
| STA238H1 | L0101 | S | Probability, Statistics and Data Analysis II |
| STA247H1 | L0101 | F | Probability with Computer Applications |
| STA248H1 | L0101 | S | Statistics for Computer Scientists |
| STA255H1 | L0201 | S | Statistical Theory |
| STA257H1 | L0101 | F | Probability and Statistics I |
| STA257H1 | L5101 | F | Probability and Statistics I |
| STA261H1 | L0101 | S | Probability and Statistics II |
| STA261H1 | L5101 | S | Probability and Statistics II |
| STA288H1 | L0101 | S | Statistics and Scientific Inquiry in the Life Sciences |
| STA302H1/STA1001H | L0101 & L2001 | F | Methods of Data Analysis I |
| STA302H1/STA1001H | L0201 | F | Methods of Data Analysis I |
| STA302H1/STA1001H | L0301 | F | Methods of Data Analysis I |
| STA302H1/STA1001H | L0101 | S | Methods of Data Analysis I |
| STA302H1/STA1001H | L0201 | S | Methods of Data Analysis I |
| STA303H1/STA1002H | L0101 | S | Methods of Data Analysis II |
| STA303H1/STA1002H | L0201 | S | Methods of Data Analysis II |
| STA304H1/STA1003H | L0101 | F | Surveys, Sampling and Observational Data |
| STA304H1/STA1003H | L0201 | F | Surveys, Sampling and Observational Data |
| STA304H1/STA1003H | L0301 | F | Surveys, Sampling and Observational Data |
| STA304H1/STA1003H | L0101 | S | Surveys, Sampling and Observational Data |
| STA305H1/STA1004H | L0101 | S | Design and Analysis of Experiments |
| STA305H1/STA1004H | L0201 | S | Design and Analysis of Experiments |
| STA313H1 | L0101 | S | Data Visualization |
| STA314H1 | L0101 | F | Statistical Methods for Machine Learning I |
| STA347H1 | L5101 & L2501 | F | Probability |
| STA347H1 | L5201 | F | Probability |
| STA365H1 | L0101 | S | Applied Bayesian Statistics |
| STA410H1/STA2102H | L0101 & L2001 | F | Statistical Computation |
| STA414H1/STA2104H | L0101 | S | Statistical Methods for Machine Learning II |
| STA437H1/STA2005H | L5101 | F | Methods for Multivariate Data |
| STA437H1/STA2005H | L5201 | F | Methods for Multivariate Data |
| STA437H1/STA2005H | L0101 | S | Methods for Multivariate Data |
| STA442H1 | L0101 | F | Methods of Applied Statistics |
| STA447H1/STA2006H | L5101 & L2501 | S | Stochastic Processes |
| STA457H1/STA2202H | L5101 | F | Time Series Analysis |
| STA457H1/STA2202H | L0101 & L2001 | S | Time Series Analysis |
| STA465H1/STA2016H | L0101 | S | Theory and Methods for Complex Spatial Data |
| STA492H1 | L5101 | S | Seminar in Statistical Science |
| STA2111H | L0101 | F | Graduate Probability I |
MASTER OF FINANCIAL INSURANCE (MFI)
Course Code |
Section(s) |
Session |
Title |
| STA2503H/MMF1928H | L0101 | F | Applied Probability for Math Finance |
| STA2530H | L0101 | F | Applied Time Series Analysis |
| STA2546H | L0101 | S | Data Analytics in Practice |
| STA2551H | L0101 | S | Financial Insurance Case Studies |
OTHER AVAILABLE POSITIONS
Course Code |
Session |
| New College Statistics Aid Centre | Y |
Any positions posted here have also been posted to the CUPE3902 Unit 1 website.