Machine Learning for Sequences

University of Guelph; Guelph; On-site; CAD 28,000 - 34,000; Part time

Job summary

University of Guelph is recruiting Teaching Assistants, Graduate Service Assistants, and Sessional Lecturers for Winter 2027 for the course DATA*6400: Machine Learning for Sequences. The position is in-person within the Mathematics and Statistics department, with duties including orientation, office hours, grading, and exams.

Applicants must be enrolled in a graduate program in Mathematics and Statistics or Data Science, or have completed the course.

Qualifications

• Enrollment in a graduate level program in Mathematics and Statistics or Data Science, and/or completion of the course.
• Preferred qualifications include excellent communication skills and familiarity with CourseLink.

Responsibilities

• Orientation and training for students
• Office hours and student consultations
• Grading and exam invigilation
• Course assessments and meetings with instructor
• Administrative duties as assigned

Skills

Excellent communication skills

Familiarity with CourseLink

Education

Graduate student in Mathematics and Statistics or Data Science

Tools

CourseLink

Job description

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400451- Winter 2027-DATA*6400 Machine Learning for Sequences

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:

Yes

Course Number:

DATA*6400

Course Name:

Machine Learning for Sequences

Course Format:

In-Person

Course Description:

See Course Calendar

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

30

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

Anticipated Duties and Responsibilities:

Orientation-Training

Office Hours

Preparation

Student Consultation

Meetings

Invigilating Exams

Grading

Other Duties Described:

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:

Enrollment in a graduate level program in Mathematics and Statistics or Data Science, and/or completion of the course.

Preferred Qualifications:

Excellent communications skills plus familiarity with CourseLink would be an asset.

Days Required and Wages

Days and Times Required:

See WebAdvisor for course schedule.

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

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.