Tenure-Track Assistant Professor – Mathematics of Data Science

Tenure-Track Assistant Professor – Mathematics of Data Science

The Department of Mathematical and Statistical Sciences at the University of Alberta invites applications for a tenure-track assistant professor position in Mathematics of Data Science. The start date of the position is July 1, 2026, or as mutually agreed. We offer an excellent research environment. The successful candidate will establish their own research program, supervise graduate students, and teach both graduate and undergraduate courses.

The Department of Mathematical and Statistical Sciences, Faculty of Science, and University of Alberta are committed to access, community and belonging, as documented in Changing the Story and our Indigenous Strategic Plan .

The competition will close on January 22, 2026.

The University of Alberta has one of the leading joint Mathematics/Statistics departments in Canada and has strong connections with other scientific institutes, such as the Pacific Institute for the Mathematical Sciences (PIMS), Canadian Statistical Sciences Institute (CANSSI), and the Banff International Research Station (BIRS). For more information about the Department, see  Questions regarding the position may be directed to

This position is part of the Association of the Academic Staff of the University of Alberta (AASUA). The successful candidate will be offered a tenure-track appointment with the rank of Assistant Professor, which is in accordance with the Academic Faculty Agreement , and offers a comprehensive benefits package.

Applicants must have a PhD degree in Mathematics (or a closely related mathematical field) completed prior to the start date of this position. They must demonstrate strong promise and significant achievements in research in Mathematics with meaningful connections to Data Science. For the purposes of this search, this refers to mathematically driven research related to data and information, grounded in core mathematical theory and methods, and maintaining a clear conceptual or methodological connection to data‐driven analysis.

A strong commitment to graduate and undergraduate teaching is essential.

Please submit the following as separate documents through the University of Alberta Career Portal :

• Cover Letter
• Curriculum Vitae
• Research Statement explaining clear and substantive connection to data science
• Teaching profile outlining your experience and interests

Throughout their application, we ask applicants to describe their plans for helping to reduce inequities, remove barriers to access, and cultivate a sense of belonging in their teaching, research, mentorship, and service.

We also require at least three confidential letters of reference, one of which addresses the candidate’s teaching ability. The referees should submit their letters to  Interviewees will have the opportunity to express the need for any accommodations, e.g., related to one’s mobility, dietary restrictions, child care, etc.

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 First Peoples 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.

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.

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…