Sessional Instructor for Machine Learning Course
University of Calgary • calgary, ab • Posted May 24, 2026
About the Role
Teach ENDG 319 on Probability, Statistics and Machine Learning at the University of Calgary’s Schulich School of Engineering during Summer 2026. This in-person role requires expertise in engineering concepts and effective teaching skills.
The Department of Chemical and Petroleum Engineering is seeking a Sessional Instructor for the Summer 2026 term. This position involves delivering engaging lectures and tutorials focused on probability theory, hypothesis testing, and machine learning applications in engineering. Candidates with a graduate degree in Engineering and a strong teaching background will have an advantage.
Key Responsibilities:
• Deliver lectures on probability, statistics, and machine learning
• Conduct tutorials to assist students with course content
• Develop assessments that enhance understanding
• Foster an inclusive learning environment
• Collaborate with departmental faculty as needed
Requirements:
• Graduate degree in Engineering required
The Department of Chemical and Petroleum Engineering is seeking a Sessional Instructor for the Summer 2026 term. This position involves delivering engaging lectures and tutorials focused on probability theory, hypothesis testing, and machine learning applications in engineering. Candidates with a graduate degree in Engineering and a strong teaching background will have an advantage.
Key Responsibilities:
• Deliver lectures on probability, statistics, and machine learning
• Conduct tutorials to assist students with course content
• Develop assessments that enhance understanding
• Foster an inclusive learning environment
• Collaborate with departmental faculty as needed
Requirements:
• Graduate degree in Engineering required