University of Toronto, Statistical Sciences, and
Faculty of Information

Position ID:UofT-Statistical Sciences-ASSISTATINFO [#12538, STA/IF 17#1]
Position Title: Assistant Professor, Statistical Information
Position Type:Tenured/Tenure-track faculty
Position Location:Toronto, Ontario M5S 3G3, Canada [map]
Subject Area: Statistics
Starting Date:2019/07/01
Appl Deadline:2018/12/10 11:59PMhelp popup finished (2018/10/25, finished 2019/03/14, listed until 2019/01/31)
Position Description:    

*** this position has been closed, and no new applications is accepted. ***

The Faculty of Information and the Department of Statistical Sciences in the Faculty of Arts & Science at the University of Toronto invites applications for a joint (51% Statistical Sciences, 49% Faculty of Information) full time tenure-stream position in the area of Statistical Information. The appointment will be at the rank of Assistant Professor with an expected start date of July 1, 2019.

Applicants must have earned a PhD in Statistical Science or a closely related field by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and strengthen the existing strengths of the Department of Statistical Sciences and the Faculty of Information.

The University of Toronto is an international leader in statistical science research and education and successful candidates are expected: to pursue independent and innovative research at the highest international level; to establish an outstanding and competitive externally funded research program; to have a strong commitment to undergraduate and graduate teaching, and to contribute to the enrichment of all aspects of the Department.

We are seeking candidates that demonstrate excellence in working across disciplines. We are particularly interested in research that focuses on replicability issues in science, data science, data privacy and ethics, topic models and network analysis. Candidates must provide evidence of research excellence as demonstrated by a record of publications in top ranked and field-relevant academic journals or forthcoming publications meeting high international standards, the submitted research statement, invited presentations at top international conferences, research awards and accolades, and strong endorsements by referees of the high standing. Evidence for excellence in teaching is based on strong letters of reference, and a teaching dossier containing a strong statement of teaching philosophy, sample syllabi, teaching accomplishments and accolades and teaching evaluations.

Salary is competitive with our North American peers and will be commensurate with qualifications and experience.

Applicants should apply online through AcademicJobsOnline and include a curriculum vitae, a cover letter, a list of publications, up to three sample publications, research statements, 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) uploaded through AcademicJobsOnline directly by the writers.

Review of applications will begin on December 10, 2018 and applicants should endeavour 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 and the Faculty of Information, please visit our websites at and If you have questions about the position please 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:
100 St. George Street, Room 6018
Sidney Smith Hall
Toronto, Ontario M5S 3G3

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