at University of Toronto
Full TimeDate Posted: 08/13/2024
Req ID: 39274
Faculty/Division: Faculty of Applied Science & Engineering
Department: Inst for Aerospace Studies
Campus: 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: September 4, 2024
Number of Positions (est.): One (1) position
Estimated TA support: Two (2) TAs
Estimated course enrolment: Approximately 72 students
Class schedule: Thursdays 1 – 3 pm & Fridays 3 – 5 pm
Hours: 1 HCE (up to a maximum of 230 hrs)
Sessional dates of appointment: January 1 – April 30, 2025
Salary: CUPE minimum salary rates for 0.65 half course (HCE), inclusive of vacation pay, are: Sessional Lecturer 1 - $5,518.29; Sessional Lecturer 1 Long Term - $5,765.01; Sessional Lecturer 2 - $5,905.63; and Sessional Lecturer 3 - $6,046.24. 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.
Description of Duties:
Application Procedure:
To apply please submit the following via email to Carmela Versace at manager@utias.utoronto.ca:
Late and/or incomplete applications will not be accepted/considered.
Closing Date: 09/04/2024, 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 the Unit 3 collective agreement.
