Date Posted: 06/17/2025 Req ID: 43632 Faculty/Division: Faculty of Applied Science and Engineering Department: Dept of Mechanical and Industrial Eng Campus: St. George (Downtown Toronto) Description: Course number and title: MIE1402F : Experimental Methods in Human Factors Research Course description: The course is intended to give students thorough training in design of experiments and statistical analysis of experimental data with additional insights into data mining and evaluation of machine learning. The course will use the R statistical package. However, the main principles of data analysis that are learned can then be applied to any other statistical package once the appropriate command language and user interface is learned for that package. Estimated course enrolment (approximately): TBD Estimated TA support: TBD Class schedule: TBD Sessional dates of appointment: September to December 2025 Salary: 15,000 (per half course 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: Applicants should have a strong record of presenting lectures or acting as a teaching assistant. Applicants must be able to demonstrate considerable depth of knowledge and experience in the subject area. All applicants should have excellent communication skills : both oral and written. Professional Engineer (P.Eng.) or Limited License (LEL) is strongly preferred. Engineering Intern (EIT) is also acceptable. Description of duties: Preparation of lectures and course materials; delivery of lectures; supervision of Teaching Assistants; setting and marking of tests and exams; evaluation of final grades; contact with students. Application instructions: Please submit a Unit 3 Sessional Instructor Application Form, Resume and Teaching Dossier merged into a single PDF file to the MIE Graduate Office Jonathan Alexander at no later than July 8, 2025 at 11:59pm (eastern time). The Course Instructor Application Form can be found on the MIE Careers page here: mie.utoronto.ca/faculty:staff/careers/ . Applicants must include full contact information of their supervisor, plus two U of T employees (faculty of staff) who can testify to the teaching skills of the applicant. If during the application and/or selection process you require accommodation due to a disability, Jonathan Alexander at . The appointment will be made at the earliest possible time before the commencement of classes by the Associate Chair, Graduate Studies of the Department of Mechanical and Industrial Engineering. No other offers or notices of the outcome of applications are authorized by the Department. Final availability of the position is contingent upon final course determination, enrolment, budgetary considerations, and the final determination of assignments flowing from Article 14:03 of the Collective Agreement. Closing Date:07/10/2025, 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 ap