Join the University of Toronto as a sessional lecturer for MIE1050, focusing on Intelligent Network Sensors. Inspire students through applied learning in sensor design and processing.

This part time position in the Faculty of Applied Science & Engineering includes teaching fundamental concepts like sensor selection, calibration, and data processing. The course structure is designed to include a hands‑on design project that allows students to apply their knowledge practically. Applicants should have a proven track record in education, particularly in technical subjects.

Key Responsibilities

• Teach the MIE1050 course content effectively
• Supervise practical projects focused on sensor technologies
• Introduce students to calibration and signal processing
• Develop instructional materials tailored for the course
• Evaluate student performance and provide feedback

Requirements

• Experience in...