Operations Analytics II

University of Guelph; Guelph; Sur place; CAD 28 000 - 36 000; Temps partiel

Résumé du poste

University of Guelph is seeking a Teaching Assistant for MATH*4240 Operations Analytics II for Winter 2027. The role includes in-person instruction, office hours, grading, invigilation, and student consultation. You must be currently enrolled in a graduate program and have strong math/statistics knowledge.

Duties cover orientation, exam support, course evaluations, and collaboration with faculty. Work is within University instructional hours; in-person attendance is required at the Mathematics

Qualifications

• Bachelor degree (or higher) with major/minor in Mathematical Science, Mathematics, Statistics, or closely related discipline with significant mathematics and statistics courses.
• Current enrolment in a graduate program in Mathematics, Statistics, Data Science, Biophysics, or Bioinformatics.
• Strong knowledge of the course material and ability to convey concepts to students.

Responsabilités

• Orientation and training of students
• Maintain office hours and provide student support
• Prepare materials and coordinate with course instructors
• Consult with students one-on-one
• Attend and participate in staff meetings
• Invigilate exams as required
• Grade assignments and exams
• Perform other departmental duties as assigned

Connaissances

Mathematics knowledge

Statistics background

Course material familiarity

Communication skills

Formation

Bachelor degree in Math/Stats

Graduate program enrolment in Math/Stats/Data Science

Outils

CourseLink

Description du poste

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400408- Winter 2027-MATH*4240 Operations Analytics II

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit:

GTA, Unit 1

Academic Unit:

Mathematics and Statistics

Semester(s) of Assignment(s):

Winter 2027

This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period:

Some

Course Number:

MATH*4240

Course Name:

Operations Analytics II

Course Format:

In-Person

Course Description:

See Course Calendar

Other Course Description or Assignment Information:

When applying for this work assignment, please be aware that this course is an 'in-person' format. Candidate will be required to work during regular University instructional hours (8:30 AM to 10:00 PM EST) as required. Some of the duties of this job may include conversing with students via chat or other interactive online software, for which the candidate must have access to a computer and a reliable internet connection or in-person office hours. In addition, the candidate may be required to perform duties during scheduled face-to-face lecture and/or lab times, course evaluations, and invigilation of midterms and finals. (check WebAdvisor for course schedule).

35

Level of Appointment for GTA, GSA-1 UTA(s)

The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.

This Posting includes Multiple Work Assignments:

No

Number of Available 0.25 (35 hour) Work Assignments:

0

Number of Available 0.5 (70 hour) Work Assignments:

1

Number of Available 0.75 (105 hour) Work Assignments:

0

Number of Available Full 1.0 (140 hour) Work Assignments:

0

Total Number (Load) of Assignment(s) Available:

1

Duties and Responsibilities

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Meetings
• Invigilating Exams
• Grading
• Other Duties (specify below)

Duties for TA work assignments in the Department of Mathematics and Statistics include other administrative duties (dept. and final exam invigilation and course evaluations, and other departmental duties specified by the Chair). Accessibility for Ontarians with Disabilities Act (AODA) Training must be completed. If you have not already done so, complete the three (3) mandatory administrative courses and upload your certificates of completion to your Work Assignment profile.

Qualifications

Required Qualifications:

A bachelor degree (or higher) with a major or minor in Mathematical Science, Mathematics, Statistics, or a closely related discipline with significant mathematics and statistics courses. Knowledge and familiarity with the course material. Current enrolment in a graduate program in Mathematics, Statistics, Data Science, Biophysics, or Bioinformatics. A strong knowledge of the course material is required.

Preferred Qualifications:

Demonstrated excellence in mathematical and statistical reasoning and ability, especially as directly related to this job position. Experience and demonstrated excellence in past TA duties or tutoring roles. Excellent communication skills plus familiarity with CourseLink would be an asset.

Days Required and Wages

Days and Times Required:

to be determined

Period of the Work Assignment (Start Date and End Date):

January 7, 2027 to May 7, 2027

Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment):

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day):

Monday, November 2, 2026

Posting Email Contact:

Hiring Contact Information:

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: [e-mail]).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.