Toronto Metropolitan University

<h2>About Toronto Metropolitan</h2>
Toronto Metropolitan University is Canada's leader in innovative, career-focused education and a university clearly on the move. It is a distinctly urban university with a focus on innovation and entrepreneurship. Toronto Metropolitan University has a mission to serve societal need and a long-standing commitment to engaging its community.
Guided by a bold Academic Plan, an ambitious research agenda, and a Master Plan to revitalize the campus and surrounding neighbourhood, Toronto Metropolitan University is the most applied-to university in Ontario relative to available spaces, and its reputation with business and community leaders continues to rise.
We offers more than 100 undergraduate and graduate programs. Culturally diverse and inclusive, the university is home to 38,950 students, including 2,300 master's and PhD students, nearly 2,700 faculty and staff, and more than 170,000 alumni worldwide. Research at Toronto Metropolitan University is on a trajectory of success and growth: externally funded research has doubled in the past four years. The G. Raymond Chang School of Continuing Education is Canada's leading provider of university-based adult education. The university's focus on innovation and entrepreneurship is represented most distinctly by the Digital Media Zone, a place for students to collaborate and bring their digital ideas to the marketplace.
Toronto Metropolitan University is reshaping the downtown core of Toronto with three new buildings: the Mattamy Athletic Centre at the Gardens, the Toronto Metropolitan University Image Centre in the heart of campus, and a Student Learning Centre on Yonge Street. In addition, currently in progress is the development of a new multipurpose building, the Church Street development (CSD). This new building will be located just north of Dundas on Church Street and will be home to four academic health services programs, Toronto Met. University food services, administration, and a student residence.
<h2>Responsibilities</h2>
Responsibilities:
Preparation, lab/tutorial grading and other duties
<ul>
<li>Prepare for labs/tutorials in order to have a strong grasp of content, procedures and assignments
</li>
<li>Grade lab/tutorial related assessments
</li>
<li>Prepare lab/tutorial materials as needed
</li>
<li>Other relevant duties as needed
</li>
</ul>
Invigilation
<ul>
<li>Invigilate midterm and final exams</li>
</ul>
Lab supervision and facilitation
<ul>
<li>Set up experiments
</li>
<li>Supervise and facilitate labs/tutorials
</li>
<li>Proctor in lab tests, exams, and quizzes
</li>
<li>Demonstrate and explain the use of equipment
</li>
<li>Help students perform technical procedures
</li>
<li>Help students perform and solve given lab/tutorial-related assignments
</li>
<li>Assist students in project work in specified laboratories/tutorials
</li>
</ul>
Winter 2027 AA for COE428 Algorithms and Data Structures
Contract hours per section for experienced AAs
Preparation, invigilation*:* up to 7 hours/ term for first section only
Attend meetings*:* up to 4 hours/ term for first section only
Preparation, lab/tutorial grading and other duties: 9 hours/ term
Lab supervision and facilitation: 24 hours/ term
44 estimated total hours of work for first section
33 estimated total hours of work per section for any additional section of the same course
Contract hours per section for AAs new to the course
Preparation, invigilation*:* up to 7 hours/ term for first section only
Attend meetings*:* up to 4 hours/ term for first section only
Complete pre-lab questions*:* up to 8 hours/ term for first section only
Preparation, lab/tutorial grading and other duties: 9 hours/ term
Lab supervision and facilitation: 24 hours/ term
52 estimated total hours of work for first section
33 estimated total hours of work per section for any additional section of the same course
Maximum Number of Registered Students per section 22. Enrollment numbers are subject to change.
APPLICATION DEADLINE: SUNDAY, OCTOBER 18, 2026
<h2>Qualifications</h2>
Qualifications:
Education:
<ul>
<li>Preference is given to current Toronto Metropolitan University (TMU) graduate students in MASc or PhD
</li>
<li>Other applicants will be considered if no qualified TMU graduate student is available
</li>
</ul>
Experience:
A strong research background and in-depth knowledge of the subject material is required.
Relevant software/ hardware experience in subject matter. Past AA experience is an asset.
A sample course outline is available here: <a href="https://www.ecb.torontomu.ca/undergraduate/outlines/" rel="nofollow noopener" target="_blank">https://www.ecb.torontomu.ca/undergraduate/outlines/</a>
Please include in your resume:
<ul>
<li>Current degree program + year enrolled
</li>
<li>Past degree program(s)
</li>
<li>Transcripts (grad+ undergrad)
</li>
<li>Past AA experience including course codes (TMU courses) and/ or title of courses for non TMU courses
</li>
<li>Software/ hardware experience
</li>
<li>Related courses taken (grad + undergrad)
</li>
<li>Relevant research related to course
</li>
<li>Other relevant information
</li>
</ul>
<h2>Salary &amp; Compensation</h2>
September 1, 2026 to August 31, 2027
Master - $52.45 per hour
PhD - $56.64 per hour

Winter 2027 AA for COE428 Algorithms and Data Structures

Winter 2027 AA for COE428 Algorithms and Data Structures

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