University of Toronto, Statistical Sciences

Position ID:UofT-Statistical Sciences-TSCOLLAB [#12431, STA17#2]
Position Title: Assistant Professor,Teaching Stream - Statistical Collaboration
Position Type:Non tenure-track faculty
Position Location:Toronto, Ontario M5G 1X6, Canada [map]
Subject Areas: Statistics
Computer Science / Computational Science
Data Science
Starting Date:2019/07/01
Appl Deadline:2018/12/10 11:59PMhelp popup finished (2018/10/17, finished 2019/06/16, listed until 2019/01/31)
Position Description:    

*** this position has been closed and new applications are no longer being accepted. ***

The Department of Statistical Sciences in the Faculty of Arts & Science at the University of Toronto invites applications for a full-time teaching-stream appointment in the area of Statistical Computation and Statistical Collaboration. The appointment will be at the rank of Assistant Professor, Teaching Stream with an expected start date of July 1, 2019.

Applicants must have at least a Masters degree in Statistics, Computer Science, Data Science, or a related discipline by the time of appointment. A PhD, by the time of appointment, or shortly thereafter, is preferred. Candidates must also have experience in teaching a variety of University level courses in statistics with a significant computational component; have experience in collaborating on data analysis with non-statisticians; and have a commitment to pedagogical research and professional development. We seek exceptional candidates who complement and strengthen our existing departmental strengths.

The University of Toronto is an international leader in statistical science research and education. The successful candidate will have a record of excellence in teaching and a commitment to pedagogical enquiry and teaching innovation. This will be demonstrated by outstanding letters of reference from referees of high standing, teaching accomplishments, awards and accolades, presentations at significant conferences, excellent teaching evaluations, a comprehensive teaching statement and an extensive teaching dossier, including sample syllabi and course materials. The successful applicant is expected to pursue independent, innovative pedagogical research and professional development at the highest international level and to contribute significantly to the enrichment of the Department. They will have a keen demonstrated interest in the scholarship of teaching and learning; and a strong demonstrated commitment to excellence in undergraduate and graduate teaching. The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading University. The Greater Toronto Area offers amazing cultural and demographic diversity and one of the highest standards of living in the world.

Salary will be commensurate with qualifications and experience.

Applicants should apply online at AcademicJobsOnline,, and include a curriculum vitae, a list of publications, and a teaching dossier, including a teaching statement, sample syllabi, course materials and teaching evaluations. Applicants should also arrange to have at least three letters of reference (on letterhead and signed), including at least one primarily addressing the candidate’s teaching, uploaded through AcademicJobsOnline directly by the writers.

Review of applications will begin on December 10, 2018 and applicants should endeavor to have all materials submitted by then, however applications will be accepted until the position is filled.

For more information about the Department of Statistical Sciences, please visit our website at or contact Katrina Mintis at

The University of Toronto offers the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world.

The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ persons, and others who may contribute to the further diversification of ideas.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
700 University Avenue
Suite 9005
Toronto, ON M5G 1X6

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