Become a Sessional Lecturer in Computational Statistics at the University of Toronto Mississauga for the 2027 term. Engage students with innovative statistical methods and enhance learning through practical applications.
This role focuses on delivering the STA380H5S LEC101 course and requires a Ph.D. in Statistics or a nearly complete advanced degree. Successful candidates will demonstrate strong organizational, communication, and interpersonal skills while showcasing exceptional teaching abilities and advanced comprehension of computational techniques.
Key Responsibilities:
• Deliver engaging lectures and tutorials on computational statistics
• Prepare assignments and grading criteria for students
• Provide office hours for student consultation




• Invigilate final exams and manage grading submissions
• Address student petitions and create makeup exams as necessary
Requirements:
• Ph.D. in Statistics or a nearly completed degree
• Robust background in advanced statistical methods
• Experience in teaching at university level preferred
• Excellent organizational and communication skills
• Commitment to diversity and inclusion in education
Impact student learning by bringing advanced statistical knowledge and teaching excellence to UofT.
#J-18808-Ljbffr

📌 Computational Statistics Sessional Lecturer (Mississauga)
🏢 University of Toronto
📍 Mississauga