Sessional Instructor - SENG , Fall , Electrical & Software Engineering

Sessional Instructor – SENG 550:
Scalable Data Analytics (Fall 2026)

Department of Electrical and Software Engineering, University of Calgary

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, programming paradigms and middleware technologies for scalable data analysis, algorithms that enable large-scale data processing, application of large scale data algorithms in selected application domains, e.g., Web user behaviour analysis and text processing, analytics frameworks.

Lecture: TR 11:00 am – 12:15 pm
Labs:
Wednesday 8:00 am – 9:50 am

The successful candidate must have earned at least a master’s degree in electrical, computer or software engineering and demonstrate a background in the subject matter related to this course. The candidate should also have demonstrated teaching performance or potential for very good teaching ability. Registration as a Professional Engineer in a Canadian Province is strongly desired.

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.

Remuneration is calculated according to the Collective Agreement, Schedule B. Salary and conditions of employment are governed by the collective agreement between the Faculty Association of the University of Calgary and the Governors of the University of Calgary.

June 16, 2026