University of Toronto, Statistical Sciences

Position ID:UofT-Statistical Sciences-ASSISTSI [#14786, 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 Areas: Network Science
Information Science / data science and its implications
Statistics
Appl Deadline:2019/11/25help popup (posted 2019/09/24, listed until 2020/03/31)
Position Description:    

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, 2020 or shortly thereafter.

We are interested in candidates that demonstrate excellence in teaching and research, whose research program includes working across disciplines and complements our existing strengths in both Statistical Sciences and Faculty of Information. We are particularly interested in research that focuses on replicability issues in science, information-based methods in data science, data privacy, topic models and network analysis.

Applicants must have earned a PhD in Statistical Science or a closely related field by the time of appointment, or shortly thereafter. Excellence in research is evidenced primarily by the quality of published papers in top ranked and field-relevant academic journals or forthcoming papers 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 and course materials, teaching accomplishments and accolades and teaching evaluations.

Both units are leaders in transforming society through collaboration, innovation, and knowledge creation. The successful candidate will be expected to conduct outstanding independent, innovative research at the highest international level; to establish a strong, 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 of Statistical Sciences and the Faculty of Information. 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 is competitive with our North American peers and will be commensurate with qualifications and experience.

Applicants must apply online through AcademicJobsOnline and include a curriculum vitae, a cover letter, a list of publications and/or forthcoming papers, up to three sample publications or working papers, a research statement, and a teaching dossier, including a teaching statement, sample syllabi and course materials and teaching evaluations. Applicants must also arrange to have at least three letters of reference (on letterhead and signed) 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 and the Faculty of Information, please visit our websites at www.statistics.utoronto.ca and www.ischool.utoronto.ca. If you have questions about the position please 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.


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:
https://www.statistics.utoronto.ca/
 
100 St. George Street, Room 6018
Sidney Smith Hall
Toronto, Ontario M5S 3G3

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