Sessional Lecturer – MIE1513 Decision Support Systems

Job Tittle: Sessional Lecturer – MIE1513 Decision Support Systems 

Date Posted: 07/05/2024

Closing Date: 07/10/2024

Req ID: 38566

Job Category: Sessional Instruction

Faculty/Division: Faculty of Applied Science & Engineering 

Department: Dept of Mechanical & Industrial Eng

Campus: St. George (Downtown Toronto) 

Are you looking for challenging, meaningful work in a supportive and diverse environment? Are you looking for a career at one of Canada’s top employers? Work where the world comes to think, discover and learn. Consider a career at the University of Toronto.

About the University of Toronto Libraries

The University of Toronto Libraries system is the largest academic library in Canada and is consistently ranked in the top ten among academic research libraries in North America. The system consists of 40 libraries located on three university campuses: St. George, Mississauga, and Scarborough. This array of college libraries, special collections, and specialized libraries and information centres supports the teaching and research requirements of over 300 graduate programs, more than 70 professional programs, and about 700 undergraduate degree programs. In addition to more than 12 million volumes in 341 languages, the library system currently provides access to millions of electronic resources in various forms and over 31,000 linear metres of archival material. More than 150,000 new print volumes are acquired each year. The Libraries’ data centre houses more than 600 servers with a storage capacity of 1.5 petabytes.

Job Posting: July 5, 2024 Job Closing: July 10, 2024, 11:59PM EDT.

Description: This course provides students with an understanding of the role of a decision support system in an organization, its components, and the theories and techniques used to construct them. The course will focus on information analysis to support organizational decision-making needs and will cover topics including information retrieval, descriptive and predictive modeling using machine learning and data mining, recommendation systems, and effective visualization and communication of analytical results.

Estimated course enrolment: TBD

Estimated TA support: TBD

Class schedule: TBD

Sessional dates of appointment: September 2024 – December 2024

Salary: $13,000 (per half course inclusive of vacation pay) per section. 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. The applicant must have excellent communication skills in both oral and written.

Description of duties: Preparation of lectures and course materials; delivery of lectures; supervision of Teaching Assistants; setting and marking of projects, tests and exams; evaluation of final grades; contact with students.

Application instructions: Please submit a Course Instructor Application Form, Resume and Teaching Dossier to the MIE Manager, Academic Programs by email at [email protected] no later than July 10, 2024 at 11:59pm (Eastern Time). The Course Instructor Application Form can be found on the MIE Careers page at: https://www.mie.utoronto.ca/faculty-staff/careers/

If during the application and/or selection process you require accommodation due to a disability, please contact Carla Baptista at [email protected]. The appointment will be made at the earliest possible time before the commencement of classes by the Associate Chair (Graduate) 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.

Additional information:

Benefits: We offer generous benefits packages to all employees. Additional information is available at: https://people.utoronto.ca/careers/benefits/

How to Apply:

Application Materials Required: A cover letter, curriculum vitae, and contact information for three references of which at least two have supervised your work. Please attach a single electronic file (MS Word or pdf) with a file name convention of Surname, FirstName, 38566]

Diversity Statements

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

University of Toronto Libraries’ Inclusion, Diversity and Equity Statement: 

https://www.library.utoronto.ca/inclusion-diversity-and-equity-statement

University of Toronto Libraries’ Anti-Racism Statement:

https://www.library.utoronto.ca/anti-racism-statement

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 [email protected].

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