MUI2080H - Intelligent Communities/Smart Cities Sessional Lecturer

MUI2080H - Intelligent Communities/Smart Cities Sessional Lecturer Pay Competitive Employment type Full-Time Job Description Req#: 31444Date Posted: 05/24/2023Req ID: 31444Faculty/Division: UofT MississaugaDepartment: UTM: Inst. for Management & InnovationCampus: University of Toronto Mississauga (UTM) Description: Course Number and Title: MUI2080H5F – Intelligent Communities/Smart Cities This course provides an overview of strategies that make up a ‘smart city” and ‘intelligent community’ – approaches to local development that integrate digital infrastructure and information and communication technologies with urban planning processes. Students will study the importance of governance forms, human capital, and equity considerations that are integral to their success. Additional key aspects include analyzing real-time data to better manage resources and congestion, forming partnerships between government, industry and universities to promote digital innovation and economic growth, and strengthening access to broadband technologies to improve the quality of life and public engagement of citizens. Estimated Course Enrolment: 15 Estimated Number of Positions: 1 Date of Appointment: September 1, 2023 - December 31, 2023 Qualifications: Ph.D. (Geography, planning, political science or related field) preferred or relevant/equivalent industry experience Duties: All normal duties related to the design, teaching and delivery of a University graduate-level credit course including: Leading weekly seminars and discussions; designing graduate level assignments; arranging field trips, guest speakers and/or other experiential learning opportunities. Meeting with student teams to guide/advise them on their assignments. Holding weekly office hours. Marking/evaluating all student assignments; recording student attendance; recording and submitting grades; and communicating with students on course related matters. Building and maintaining Quercus course shell. Design course syllabus, content and assignments in close consultation with Program Director. Liaise with Program Director regarding course content and curriculum.Rate of Pay: Minimum $ as per CUPE 3902 Unit 3 Collective Agreement (includes 4% vacation pay) To Apply: Also posted on the MUI ‘Opportunities’ website: your CV along with a completed application form ( to: Alyssa Madrasto, Program Coordinator, Master of Urban Innovation, at . Include ‘MUI2080H Sessional Lecturer Application’ in the subject line. Closing Date: 06/23/2023, 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. About the company The University of Toronto is a public research university in Toronto, Ontario, Canada, located on the grounds that surround Queen's Park. Notice Talentify is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Talentify provides reasonable accommodations to qualified applicants with disabilities, including disabled veterans. Request assistance at or . Federal law requires every new hire to complete Form I-9 and present proof of identity and U.S. work eligibility. An Automated Employment Decision Tool (AEDT) will score your job-related skills and responses. Bias-audit & data-use details: . NYC applicants may request an alternative process or accommodation at or . #J-18808-Ljbffr