Sessional Lecturer - MMF1914H: Information Technology (Section LEC 0101)

Description:

Course Number and Title:

MMF1914H: Information Technology (Section LEC 0101)

Course Description:
This course provides an introduction to information technology and financial data in the context of modern finance. Students will learn the foundations of Natural Language Processing (NLP) and how it applies to building financial datasets. The course will cover classification models like Softmax Regression, neural networks, and Multilayer Perceptrons. Students will gain practical experience with Python and PyTorch, learning about vector lookups and embeddings, and self-attention. The course will also introduce students to cutting-edge topics like BERT, causal Large Language Models (LLMs) for text continuation, and Reinforcement Learning from the basics to GRPO - the technique used to train DeepSeek-R1.

Estimated course enrolment : 30

Estimated TA support : n/a

Class Schedule Class Schedule: Tuesday 1:00-4:00pm, Wednesday 1:00-4:00pm, Thursday 1:00-4:00pm, Friday 1:00-4:00pm

The delivery method for this course is in-person.

Sessional dates of appointment : August 18-21, 2026

Salary (per section):

$4,910.35 Sessional Lecturer I

$5,255.02 Sessional Lecturer I – Long Term

$5,255.02 Sessional Lecturer II

$5,380.14 Sessional Lecturer II – Long Term

$5,380.14 Sessional Lecturer III

$5,515.18 Sessional Lecturer III - Long Term

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:

• Advanced degree in computational mathematics
• Industry experience in NLP, neural networks. multilayer perceptions and classification models
• Prior experience teaching this course (or a similar course) at the university level
• Ability and experience teaching large classes

Preferred qualifications:

• Industry experience in information technology and financial data in the context of modern finance

Description of duties :

• Preparation and delivery of lectures in this course
• Preparation, supervision and grading of tests and examinations in accordance with university regulations
• Providing scheduled office hours for academic counseling of students

Application instructions: 

Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located here:  .

Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact View email address on jobs.utoronto.ca All applicants must have a valid email address.

Closing Date: 07/15/2026, 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.