Sessional Lecturer - CSC2701HY - Deploying an ML/DevOps

Date Posted: 07/04/2025
Req ID: 44078
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus: St. George (Downtown Toronto)

Description:

Course number and title: CSC2701HY – Communication for Computer Scientists – Deploying an ML/DevOps;  0.1 FCE (Sections LEC5101, LEC5201, LEC5301, LEC5401)

*Please note, this is a 0.5 FCE course co-taught with other instructors; the hired Sessional Lecturer will teach a module equivalent to 0.10 FCE.

Course description: The MScAc degree is intended to create technical leaders capable of transferring new ideas and technologies from academia to industry.  Companies seeking to develop innovative solutions to technology-related problems face a critical need for technically sophisticated professionals who are aware of advanced research ideas and can identify commercial opportunities for such ideas.  These individuals will provide the conduit between university research and the world of industry, offering substantial benefits of both.

Estimated course enrolment: maximum 40 students per section

Estimated TA support: To be determined in consultation with the instructor

Class schedule: A maximum of four sections. LEC5101 biweekly on Tuesday 6:00pm-9:00pm; LEC5201 biweekly on Tuesdays 6:00pm-9:00pm; LEC5301 biweekly on Wednesdays, 6:00pm-9:00pm; LEC5401 bi-weekly on Wednesdays 6:00pm-9:00pm; Each lecture section will have three tutorial sections assigned to it;

*Please note: the delivery method for this course is currently hybrid. In keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department. The number of sections may be reduced to three, depending on the confirmed number of students registered for the Fall semester. Instructors will be advised ahead of an offer being made, should this be the case.

Sessional dates of appointment: September 1, 2025 - April 30, 2026

Salary: $4,500 per module (per section). Each module is equivalent to a 0.1 FCE load

The work the sessional will complete for each section of this course is equivalent to a 0.1 FCE load and thus the salary has been prorated here.  The posted rate is the same for all sessional ranks and posted rates are inclusive of vacation pay.

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:

• Bachelor degree in Computer Science or closely relatd STEM field.
• Demonstrated formal and extensive experience of career coaching of students with advanced backgrounds in STEM disciplines.
• Demonstrated superior communication skills required.
• Strong organizational and interpersonal skills required.
• Experience deploying ML pipelines in industry.
• Experience and evidence of teaching AI and Ops to students with advanced backgrounds in STEM subjects.

Preferred qualifications:

• Demonstrated evidence of excellence in teaching preferred.

Description of duties:

• Planning the lectures, tutorials, assignments, tests, and marking schemes associated with the module.
• Maintaining a module website.
• Delivering module material in lectures and tutorials.
• Providing appropriate contact time outside of class to students, through office hours, email, the module website and/or the module e-bulletin board.
• Assisting with preparing the breakdown of TA hours and supervising the TA(s) (if applicable).
• Managing the assessment of the module and invigilating the final exam (if applicable).
• Managing and submitting all module grades, including the timely completion and release of grades and feedback to students throughout the term.

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 Academic Director of Professional Programs for any substantial changes to the course content or assessment methods. Instructors will also be expected to consult with the MScAC Program team when creating the course syllabus, assignments, tests, and if applicable - a final exam. 

Application instructions: All individuals interested in this position must submit their application by using the following form (Direct link: https://forms.office.com/r/JjiDwdTbLQ). This includes submitting an updated Curriculum Vitae and the CUPE 3902 Unit 3 application form available at https://uoft.me/CUPE-3902-Unit-3-Application-Form. 

Questions on the application form also include:

• asking for a clear description of how you meet the qualifications listed.
• providing the name of at least one reference who can comment on your teaching ability.
• identifying if you are interested in applying for one, two, three, or all four sections.

If you have any questions, please email: sessional_lecturer@cs.toronto.edu.

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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: sessional_lecturer@cs.toronto.edu.

Closing Date: 07/28/2025, 11:59PM EDT

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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.