CP322F - Machine Learning (Winter 2027)

Position Summary

With the rise of Data Science and Big Data, machine learning has been recognized as the key driver behind successful advances of these fields. The course aims to empower students to effectively use and understand the primary topics in predictive models, including regressions, classifications, neural networks and deep learning, ensemble‑based methods, performance evaluation, etc. In addition, case studies describe specific data analytics projects and provide opportunities to employ a variety of machine learning toolboxes.

Qualifications

• Master’s degree (required)
• Computer Science or related field
• PhD would be an asset (professional designation)
• Preference for applicants with demonstrated expertise in the subject field and recent scholarly activity related to the course content
• Areas of specialization: n/a

Salary: $10,212.40

Application Deadline: June 1...