The Department of Philosophy and the Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure-stream position held jointly between the Department of Philosophy (51%) and the Department of Statistical Sciences (49%) in the area of Ethical Issues of Big Data. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2025.

Candidates must have earned a PhD degree in Philosophy, Statistical Sciences, or a closely related field by the date of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching covering ethical issues arising from the statistical methods and principles for Big Data. The successful candidate will be expected to pursue innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program.

Candidates must provide evidence of excellence in research as demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades for innovative work, and strong endorsements by referees of high standing.

The successful candidate must be able to teach a wide range of courses in philosophy and statistical sciences from the introductory to advanced levels, at both the undergraduate and graduate levels. Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier including the statement of teaching philosophy, sample course materials, and teaching evaluations, submitted as part of the application, as well as strong letters of reference.

Salary will be commensurate with qualifications and experience.

For more information about the Department of Philosophy please visit our website at www.philosophy.utoronto.ca. For more information about the Department of Statistical Sciences see our website at www.utstat.utoronto.ca.

All qualified candidates are invited to apply online by clicking the link below. Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; recent writing samples; and evidence of excellence in teaching as mentioned above.

Equity, diversity and inclusion are essential to academic excellence as articulated in University of Toronto’s Statement on Equity, Diversity and Excellence. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.

The following elements of the application must submitted online (in pdf format only) by November 11th, 2024: 

 (1) a cover letter and a current curriculum vitae, combined in a file labelled “YourLastName cover letter and CV.pdf”;

 (2) a research dossier containing a statement outlining current and future research interests and a sample of academic writing (about 25 pages), combined in a file labelled “YourLastName research.pdf”;

 (3) a teaching dossier (including a statement of teaching philosophy, sample course materials, and teaching evaluations) in a file labelled “YourLastName teaching.pdf”.

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee the day after an application is submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ.

General submission guidelines can be found at:  http://uoft.me/how-to-applyh.

If you have questions about this position, please contact search.philosophy@utoronto.ca or mailto:katrina.mintis@utoronto.ca

All application materials, including recent reference letters, must be received by November 11th.

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

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.