Innovation & Entrepreneurship Lecturer — AI-Driven Startup Lab
Listed on 2026-06-18
-
Education / Teaching
University Professor, Academic
Search Keywords
More Filter Options:
Campus and Job Category
Loading...
Campus
All
Job Category
All
Clear
Select How Often (in Days) To Receive An Alert
Select how often (in days) to receive an alert:
Apply now »
Sessional Lecturer - MMF
2032H:
Innovation and Entrepreneurship (LEC 0101)
Date Posted: 05/25/2026
Req : 48144
Faculty/Division: Faculty of Arts & Science
Department: Dept of Economics
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes
Description
Course Number and
Title:
MMF
2032H:
Innovation and Entrepreneurship (LEC 0101)
Course Description
This is an intensive, hands-on five-day course designed for students interested in turning their ideas into real-world ventures in the age of AI. You will work through the core stages of building a startup: identifying a meaningful problem, conducting industry and market analysis, engaging in customer discovery, designing a clear value proposition, and developing a business model. Using AI tools throughout the process, you will rapidly prototype your idea and prepare a live product demo and pitch deck.
A central focus of the course is learning how to think critically about your own ideas. You will be expected to test assumptions with evidence, analyse competitors, understand market dynamics, and validate or invalidate your hypotheses before building further. Strong ventures are not driven by attachment to an idea, but by a disciplined focus on solving real problems. By the end of the course, you will be able to clearly communicate your idea, understand how new products are validated and brought to market.
Estimated course enrolment: 36
Estimated TA support: n/a
Class Schedule Class Schedule: Monday 5:00-8:00pm;
Tuesday, 5:00-8:00pm;
Wednesday 5:00-8:00pm;
Thursday 5:00-8:00pm;
Friday 5:00-8:00pm
The delivery method for this course is in-person.
Sessional dates of appointment:
July 13-17, 2026
Salary (per Section)
$9,820.70 Sessional Lecturer I
$10,510.04 Sessional Lecturer I - Long Term
$10,510.04 Sessional Lecturer II
$10,760.28 Sessional Lecturer II - Long Term
$10,760.28 Sessional Lecturer III
$11,030.36 Sessional Lecturer III - Long Term
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
- Advanced degree in computer science
- Industry experience in innovation, artificial intelligence and the start-up space
- Prior experience teaching this course (or a similar course) at the university level
- Ability and experience teaching large classes
Preferred Qualifications
- Work in the Fin Tech space
- Preparation and delivery of lectures in this course
- Preparation, supervision and grading of tests and examinations in accordance with university regulations
- Providing scheduled office hours for academic counseling of students
Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located here:
Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact ses All applicants must have a valid email address.
Closing Date: 06/16/2026, 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).