SL - ECE1724H - Special Topics in Software Engineering: Bio-inspired Algorithms for Smart Mobility
University of Toronto
SL - ECE1724H - Special Topics in Software Engineering: Bio-inspired Algorithms for Smart Mobility
Job Posting for Sessional Lecturer
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
Date Posted: 07/18/2024
Req ID: 38797
Faculty/Division: Applied Science and Engineering
Department: Electrical & Computer Engineering
Campus: St. George
Contact Email Address: ugta.ece@utoronto.ca
Course Number and Title: ECE1724H – Special Topics in Software Engineering: Bio-inspired Algorithms for Smart Mobility
Course Description: This project-based course provides a comprehensive introduction to bio-inspired algorithms and highlights the power of these computational techniques in solving ill-structured problems in the context of smart mobility. Topics to be covered include smart mobility, geospatial data science, graph search algorithms, metaheuristics, evolutionary computing methods, swarm intelligence algorithms, and machine learning. Different case studies are discussed to show the ability of these adaptive algorithms in handling spatiotemporal analytics, design, planning and control problems that arise in smart mobility systems and services. These problems include, but are not limited to, multi-criteria routing, ridesharing/ridehailing problems, optimal placement/deployment problems, demand prediction, dynamic pricing, multi-modal transportation planning, MaaS bundling, traffic control, truck platooning and fleet management to name just a few.
Estimated course enrolment: ~72
Estimated TA support: TBD
Class schedule: Not available yet
Sessional dates of appointment: September 1, 2024 – December 31, 2024
Salary: $15,301.50
Qualifications: Knowledge in the subject matter. Preferred consideration will be given to applicants who have taught the course before (or course equivalent), or have teaching experience in the subject matter.
Description of duties: Deliver lectures in accordance with the schedule specified in the course description. Perform evaluation of students' work and assign final grades. Supervise course TAs and address any issues of academic integrity that arise related to this course.
Application Procedure: Please complete a CUPE3902 Unit 3 Application Form from ECE's Sessional Lecturer webpage then send the application and a detailed teaching resume to ugta.ece@utoronto.ca by August 1, 2024 @ 11:59 PM. Please label the PDF documents using the following format: LastName, FirstName - Course Code – Resume / Application. Additional material (cover letter, teaching dossier, statement) is optional, but if included should be attached as a PDF (naming the document LastName, FirstName - Course Code – Document Type) as messages in the body of the email will not be considered. If during the application and/or selection process you require accommodation due to a disability, please contact Jennifer Lee at ugta.ece@utoronto.ca. Further information can be found on ECE's Career Opportunities webpage.
Please note applications that do not follow the procedure mentioned above will not be considered.
Closing Date: 08/01/2024
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.
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.
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