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 bene?ts package.
The Department of Mathematical and Statistical Sciences at the University of Alberta invites applications for a tenure-track assistant professor position in any area of Statistics. The start date of the position is July 1, 2026, or as mutually agreed. We offer an excellent research environment.
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 scienti?c institutes, such as the Paci?c 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 www.mathstats.ualberta.ca. Questions regarding the position may be directed to mssadmin@ualberta.ca.
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 successful candidate will establish their own research program, supervise graduate students, and teach both graduate and undergraduate courses.
Applicants must have a PhD degree in Statistics (or equivalent) completed prior to the start date of this position. They must demonstrate strong promise and signi?cant achievements in research in any area of Statistical Sciences. A strong commitment to graduate and undergraduate teaching is essential.
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