While this position welcomes applications from individuals external to the university, current Academic Teaching Staff are first notified of available positions and will receive first consideration in accordance with the terms of the Academic Teaching Staff Agreement before considering external candidates for positions with a term 8 months or longer. Please login to verify your internal candidate status.

This position is a three-year term appointment, commencing in July 2026 and ending on June 30, 2029.

Location - This role is in-person at North Campus, Edmonton.

Position Summary

The Department of Computing Science invites applications for a full-time Academic Teaching Staff (ATS) member. Currently, the list of courses the ATS member may be required to teach (all or part of) includes:

CMPUT 191 - Introduction to Data Science
CMPUT 195 - Introduction to Principles and Techniques of Data Science
CMPUT 200 - Responsible Data Science and Artificial Intelligence
CMPUT 291 - Introduction to File and Database Management
CMPUT 393 - Scalable Data-Intensive Analytics
INT D 491 - Data Science Capstone

Information on the courses above can be found in this catalogue:
CMPUT courses
INT D courses

For context about these courses, see also the information about the
Certificate in Applied Data Science
B.Sc. in Data Science

Other courses and related duties may be considered as conditions change, and depending on the qualifications of the candidate.

The Faculty of Science is internationally recognized for excellence in research and education. Through pioneering discovery and innovation, the faculty addresses global challenges across disciplines such as biology, chemistry, computing science, physics, mathematics, and earth sciences. Its work positions the university at the forefront of technological, environmental, and scientific advancement.

The ATS member has duties to support teaching more broadly, which may include course and program design and development, the integration of generative artificial intelligence within courses, and the support of instructors in alternative forms of delivery (e.g., online, asynchronous courses).

The appointment requires a Ph.D. degree in a closely related discipline to computing science, software engineering, or data science.

Successful teaching experience, especially in the context of team-based, capstone-project courses that apply data science, and use modern cloud technologies, is an asset.

Application Instructions

If you are interested in being considered for this position, please provide a C.V. and a cover letter that highlights your teaching experience, addressing the support duties and listing the courses for which you would like to be considered.

Please include the names of two references who are willing to give information on your teaching experience and abilities.

Questions about the above should be sent to csacu@ualberta.ca using “Lecturer Position (Data Science)” as the subject.

This position offers a comprehensive benefits package. Salary will be commensurate with experience in accordance with Schedule D of the Collective Agreement between the Board of Governors of the University of Alberta and the Association of the Academic Staff of the University of Alberta.

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms—physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Métis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

L’Université de l’Alberta s’engage à créer une communauté universitaire où chaque personne se sent valorisée, où les obstacles à la réussite sont éliminés et où des connexions enrichissantes peuvent se développer. Nous accueillons les demandes de toutes les personnes qualifiées. Nous encourageons les femmes; Premières nations, Métis et Inuits; membres des groupes minoritaires visibles; personnes handicapées; personnes de toute orientation sexuelle ou identité et expression de genre; et toutes les personnes qui peuvent contribuer à la diversification des idées et à l'université à postuler.