Sessional Lecturer - CSC490H1F - Capstone Design Project

University of Toronto; Toronto; On-site; CAD 14,000 - 18,000; Full time

Job summary

The University of Toronto is seeking a Sessional Lecturer for a Computer Science course. Responsibilities include preparing and delivering lectures, managing course materials, and ensuring student engagement. Candidates should possess a relevant graduate degree and prior teaching experience, with strong organizational and communication skills.

Qualifications

• Graduate degree required.
• Demonstrated expertise in Computer Science topics preferred.
• Teaching experience at the university level preferred.

Responsibilities

• Prepare and deliver lectures in-person on campus.
• Manage course administration tasks such as grading and maintaining the course website.
• Provide outside contact time with students.

Skills

Organizational skills

Interpersonal skills

Communication skills

Education

Graduate degree in Computer Science or closely related field

Tools

AWS

Azure

GCP

Kubernetes

Terraform

Django

Flask

FastAPI

Tensorflow

Pytorch

Transformers

Job description

Date Posted: 05/28/2025
Req ID: 43114
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus:St. George (Downtown Toronto)

Description:

Course number and title : CSC490H1F - Capstone Design Project, LEC5101
Please note, this position is a 0.5 FCE appointment.

Course description : This half-course gives students experience solving a substantial problem that may span several areas of Computer Science. Students will define the scope of the problem, develop a solution plan, produce a working implementation, and present their work using written, oral, and (if suitable) video reports. Class time will focus on the project, but may include some lectures. The class will be small and highly interactive.

Reference: https://artsci.calendar.utoronto.ca/course/csc490h1

Estimated course enrolment : 45 students

Estimated TA support: one 60-hour TA position for every 30 students

Class schedule: Wednesdays 18:00-21:00

*Please note, the delivery method for this course is currently in-person. Please note that, in keeping with current circumstances, the section delivery method may change as determined by the Faculty or the Department.

Sessional dates of appointment : September 1, 2025 – December 31, 2025

Salary : Sessional Lecturer I = $14,125.85; Sessional Lecturer I - Long Term = $15,794.49; Sessional Lecturer II = $15,794.49; Sessional Lecturer II - Long = $16,906.58; Sessional Lecturer III = $16,906.58; Sessional Lecturer III - Long Term = $17,440.58;

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications :

• Graduate degreein Computer Science or closely related field required.
• Demonstrated expertise in topic area of the course required.
• Strong organizational, interpersonal, and communication skills required.
• Teaching experience at the university level or equivalent industry level required.

Preferred qualifications :

• Previous experience teaching undergraduate courses in the field of Computer Science preferred.
• Demonstrated evidence of excellence in teaching preferred.
• Experience working with application and machine learning infrastructure, such as Kubernetes, Terraform, AWS/Azure/GCP.
• Experience fine-tuning language models using frameworks such as Tensorflow, Pytorch, Transformers.
• Experience serving LLMs with frameworks such as TGI/VLLM/SGLang.
• Experience prompting LLMs for a variety of classification and generation tasks.
• Experience building APIs in Python using frameworks such as Django, Flask, FastAPI.
• Experience deploying startup vs. enterprise-scale projects.
  

Description of duties :

• Preparing and delivering the lectures in-person on campus as scheduled.
• Handling course administration including: maintaining the course website on quercus; developing marking schemes/syllabus; planning tutorial content (when applicable); developing course assessments including assignments, projects, quizzes, tests, and final assessments.
• Providing appropriate contact time outside of class to students, through office hours, email, the course website and/or the course bulletin board.
• Preparing the breakdown of hours for TA duties in the course and supervising the TAs.
• Ensuring that tutorials and/or labs are delivered appropriately by the TAs as applicable.
• Managing the grading for the course, which is largely done by the TAs, and carrying out any grading not handled by the TAs.
• Invigilating term tests and the final exam when applicable.
• Managing the grades, including the timely completion and release of grades and feedback to students throughout the term; submitting final course grades (due January 9, 2026).

While there is a lot of room for creativity in course delivery, instructors will be expected to follow the basic content and style used by the faculty members who normally teach the course, and must get approval from these faculty members or from the Associate Chair for any substantial changes to the course content or assessment methods. Instructors will also be expected to consult with the department’s Teaching Support group when creating the course syllabus and course assessments (tests, assignments, projects, and final exam)

Application instructions : All individuals interested in this position must submittheir application by using the following application form . The direct link is: https://forms.office.com/r/3r3dN2PnKR. This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available athttps://uoft.me/CUPE-3902-Unit-3-Application-Form. If you have any questions, please email:[e-mail].

***

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please email: [e-mail].

Closing Date:06/18/2025, 11:59PM EDT

**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.

It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

Candidates who are members of Indigenous. Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.