University of Toronto, Statistical Sciences

Position ID:UofT-Statistical Sciences-ASSISTEACH [#14921, STA19#1]
Position Title: Assistant Professor, Teaching Stream Statistical Sciences
Position Type:Non tenure-track faculty
Position Location:Toronto, Ontario M5S 3G3, Canada [map]
Subject Areas: Statistics
Data Science
Computer Science
Appl Deadline:2019/11/25help popup finished (2019/10/02, finished 2020/03/31, listed until 2020/04/02)
Position Description:    

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

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream and will commence on July 1, 2020 or shortly thereafter.

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 in these areas by the time of the appointment, or shortly thereafter, is preferred. Candidates must also have experience teaching a variety of University level courses in Statistics including upper-year undergraduate courses for Statistics majors and those with a significant computational component; have experience in collaborating on data analysis with non-statisticians; and demonstrate commitment to pedagogical growth and professional development. We seek exceptional candidates who complement and strengthen our existing strengths in Statistical Sciences.

The University of Toronto is an international leader in statistical science research and education. The successful candidate will have a demonstrated record of excellence in teaching and a commitment to learning innovation and pedagogical inquiry. This will be demonstrated by a publication record, outstanding letters of reference from referees of high standing, teaching accomplishments, awards, accolades, presentations at significant conferences, excellent teaching evaluations, a comprehensive teaching statement and an extensive teaching dossier which includes course materials and sample syllabi. The successful candidate is expected to pursue innovative curriculum initiatives independently and collaboratively, to actively engage in professional development in teaching and learning and to significantly contribute to the enrichment of the Department. They will have a keen demonstrated interest in publishing 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 must apply online at AcademicJobsOnline and submit a cover letter; a current curriculum vitae; a list of publications; one sample article-length publication, and a teaching dossier which includes a teaching statement, sample course syllabi, and teaching evaluations. Applicants must 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.

All applicant materials, including signed reference letters, must be received by November 25, 2019.

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

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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