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Original posting from University of Toronto
Join the University of Toronto as a Sessional Lecturer for the MIE1624F course on Data Science and Analytics. This role at the St. George campus focuses on applying computational techniques using Python and IBM Watson Analytics.
The successful candidate will guide students through the use of analytical models and quantitative algorithms addressing engineering and business challenges. This appointment spans from September to December 2026, emphasizing your depth of knowledge and communication prowess.
Responsibilities include lecture preparation, supervising teaching assistants, and grading to ensure an exceptional academic experience. Key Responsibilities:
- Prepare lectures that effectively impart analytical concepts
- Deliver engaging and informative presentations to students
- Supervise Teaching Assistants in facilitation and support
- Assess and mark student tests and assignments
- Foster student engagement and learning insights Requirements:
- Extensive knowledge in data science and analytics
- Proven experience in engaging presentations
- Strong communication skills, both oral and written
- Professional Engineer or Limited License is desired
- Familiarity with Python and analytical software tools Leverage your expertise in data analytics to cultivate a pivotal learning environment for future engineers at the University of Toronto.
Source: University of Toronto careers