Date Posted: 08/14/2026
Req ID: 49851
Faculty/Division: Faculty of Applied Science & Engineering
Department: Dept of Chemical Eng.& Applied Chemistry
Campus: St. George (Downtown Toronto)
Description: Artificial Intelligence (AI) and Data Informed Decision Making (DIDM) rely heavily on data and the use of AI and DIDM is necessary in order to maintain competitiveness in up-to-date manufacturing. Industry benchmarks indicate that 70-80% of the effort in implementing AI and DIDM is associated with the task of acquiring pertinent data. Organizing and thereby making industrial data easier to acquire would help mitigate the efforts involved.
This course introduces the current tools and concepts used to address this problem. Students will learn about Industry standards, approaches, and data transport protocols. Working both in team and individual environments, these concepts will be applied to real world scenarios.
Minimum Qualifications: A BASc degree in Chemical Engineering, five years of experience in data organization
Preferred Qualifications: 10 years of experience in data organization
Duties: Developing a course syllabus and course materials (e.g., assignments, tests, exams). Instructing / teaching, and testing. Conducting office hours. Coordinating tutorials with TA assistance. Marking / grading assessments (quizzes, tests, assignments, exams). Providing constructive feedback to students.
Closing Date: 08/19/2026 11:59PM ET
Employee Group: CUPE 3902 (Unit 3)
Appointment Type: Sessional Lecuturer
Schedule: Lecture Time: September 1, 2026- December 31, 2026 Monday 10:00 AM - 1:00 PM September
Pay Scale Group & Hiring Zone:
CUPE minimum salary rates for a half course (HCE),
inclusive of vacation pay, are: Sessional Lecturer 1 - $ 9,997.48; Sessional Lecturer 1 Long Term - $ 10,699.22; Sessional Lecturer 2 - $10,699.22; Sessional Lecturer 2 Long Term - $10,953.96; Sessional Lecturer 3 - $10,953.96 and Sessional Lecturer 3 Long Term - $11,228.90. Should rates stipulated in the Collective Agreement vary from rates stated in this posting, the rates stated in the Collective Agreement shall prevail.
Job Category: Sessional Lecuturer
Application Procedure: Applicants should submit:
- Curriculum Vitae
- Unit-3-Application
Please submit applications by email to
[email protected] with the following subject line: CHE1149H Sessional Lecture Application. 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.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
📌 H: Chemical Engineering Data Organization (Toronto)
🏢 University of Toronto
📍 Toronto