University of Toronto

Faculty of Information

Sessional Lecturer

Summer Term 2024 (May - August)

INF2179H – Machine Learning with Applications in Python

Course Description: Machine learning has recently become the dominant field in AI research and constitutes the main part of the tools applied in industry-based AI positions. Business analysts, data scientists and AI engineers are required to know machine learning at different levels. The course (INF2179H — Machine Learning with Applications in Python) will give a broad high-level overview of state-of-the-art machine learning methodologies. We shall focus on the application of these techniques to real-world data using the most advanced tools available for Python. The techniques will include: linear regression, basic techniques for classification, advanced regression and classification methods, and unsupervised learning.
 

https://ischool.utoronto.ca/course/machine-learning-with-applications-in-python/

Estimate of the course enrolment: 35

Estimate of TA Support: None Anticipated

Class Schedule: Wednesdays 6:00 PM - 9:00 PM (In-person). You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date.

Sessional dates of appointment: May 1, 2024 - August 31, 2024

Salary:

Sessional Lecturer I: $10,300

Sessional Lecturer I Long Term: $10,764

Sessional Lecturer II $11,021

Sessional Lecturer II Long Term: $11,227

Sessional Lecturer III: $11,279
Sessional Lecturer III Long Term: $11,485
 

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.

Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred.

Brief description of duties: Preparing course materials; delivering course content (e.g., seminars, lectures, and labs); developing and administering course assignments, tests & exams; grading; holding regular office hours.

Application Deadline: March 28, 2024

Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of: 

Jennifer Laurentius, Payroll Administrator

Faculty of Information, 140 St. George Street

University of Toronto

sessional.ischool@utoronto.ca

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.