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The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a contractually-limited term appointment (CLTA) in Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream for a one-year term anticipated to begin on July 1, 2021 and end June 20, 2022.

Applicants must have at least a Masters degree in statistics, biostatistics 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. Applicants must also have a minimum of one-year experience in teaching a variety of University level courses in statistics and be prepared to teach advanced undergraduate statistics courses such as Methods of Data Analysis I and II and Time Series Analysis as well as more theoretical courses such as Probability and Mathematical Statistics; Applicants must demonstrate excellence in teaching, including lecture preparation and delivery of innovative course materials, activities and assessments and development of online and hybrid material/lectures; and demonstrate a commitment to pedagogical growth including participation and presentations at education conferences and workshops, publications, and pedagogical choices aligned with scholarship of teaching and learning literature and other scholarly work. Experience teaching large classes and online courses are considered assets. We seek exceptional applicants 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 must have a demonstrated record of excellence in teaching, and a commitment to pedagogical inquiry, student-centred teaching and teaching innovation. This will be demonstrated by 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, including sample syllabi and course materials. The successful candidate is expected to

contribute significantly to the enrichment of the Department. The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading University.

Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.

Salary will be commensurate with qualifications and experience.

Applicants must apply online at AcademicJobsOnline, and submit a cover letter; a current curriculum vitae and a teaching dossier which includes a teaching statement, sample course syllabi and course materials, and teaching evaluations. Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose teaching and service bear out our commitment to equity. Candidates are therefore asked to submit a 1-2 page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.

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 by the closing date.

All applicant materials, including signed reference letters, must be received by April 30, 2021.

For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca or contact Katrina Mintis at katrina.mintis@utoronto.ca.

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.