Sessional Lecturer ROB311H1S

Sessional Lecturer ROB311H1S - Artificial Intelligence Date Posted: 10/24/2025Req ID: 45733Faculty/Division: Faculty of Applied Science & EngineeringDepartment: Institute for Aerospace StudiesCampus: St. George (Downtown Toronto) Description Position: Sessional Lecturer Department: Institute for Aerospace Studies Course number and title: ROB311H1S: Artificial Intelligence Course description: An introduction to the fundamental principles of artificial intelligence from a mathematical perspective. The course will trace the historical development of AI and describe key results in the field. Topics include the philosophy of AI, search methods in problem solving, knowledge representation and reasoning, logic, planning, and learning paradigms. A portion of the course will focus on ethical AI, embodied AI, and on the quest for artificial general intelligence. Posting End Date: November 14, 2025 Number of Positions: One (1) position Estimated course enrolment: Approximately 50 students Sessional dates of appointment: January 1 – April 30, 2026 Salary: CUPE minimum salary rates for a half course (HCE), inclusive of vacation pay, are: Sessional Lecturer 1 - $9,820.70; Sessional Lecturer 1 Long Term - $10,510.04; Sessional Lecturer 2 - $10,510.04; Sessional Lecturer 2 Long Term - $10,760.28; Sessional Lecturer 3 - $10,760.28 and Sessional Lecturer 3 Long Term - $11,030.36. 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 include at least a Master’s degree in Robotics or Computer Science, and an undergraduate degree in a robotics discipline such as computer engineering, control and mechatronics. An academic background in machine learning and computational/numerical methods studies is required. Knowledge in artificial intelligence, robotics and mechatronics is a further requirement. Strong knowledge of robotic sensing, control, and spatial perception is required. Knowledge of engineering mathematics with emphasis on complex variables and ordinary differential equations. Strong written and oral communication skills, a demonstrated commitment to teaching and demonstrated ability to work as part of a team. Preferred Qualifications include experience as an instructor in Robotics or Computer Science, familiarity with the specific needs of ROB, and a strong working relationship with its faculty. Responsibilities Setting exams Marking Providing support/feedback to students (individually and in groups) Recording and entering grades Ability to convert to online duties if required Late and/or incomplete applications will not be accepted/considered. Closing Date: 11/14/2025, 11:59PM EDT Diversity Statement The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP. Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.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 contact uoft.careers@utoronto.ca. #J-18808-Ljbffr