Sessional Instructor - ENSF , Fall , Electrical & Software Engineering

Overview

Sessional Instructor – Department of Electrical and Software Engineering, University of Calgary.

Course:
ENSF 612 – Engineering Large Scale Data Analytics Systems (Fall 2026, September 1 – December 31, 2026).

Sources and characteristics of large scale data, i.e., “big data”; large scale data analysis; benefits of large scale data analysis to various industry domains; scalable data analysis frameworks; large scale data algorithms in selected application domains.

Lecture:
Monday, Wednesday, Friday 9:00 am – 9:50 am.

The successful candidate will have earned at least a master’s degree in electrical, computer, or software engineering and a demonstrated background in the subject matter related to this course. The candidate must also have a very good previous teaching performance or show the potential for very good to excellent teaching ability. It is strongly desired that the candidate is registered as a Professional Engineer in a Canadian province.

In accordance with Canadian immigration requirements, priority will be given to Canadian citizens and permanent residents of Canada. The University of Calgary is committed to Employment Equity and strongly encourages applications from women.

The amount of remuneration is calculated according to the Collective Agreement, Schedule

B.

The Final date to receive applications is June 16, 2026 .

Are you a Canadian citizen or a permanent resident of Canada? (Yes/No)