University of Toronto, Philosophy and Statistical Sciences, Assistant Professor
Sep 13, 2019 → Nov 04, 2019
The Department of Philosophy and the Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invite applications for a full-time tenure stream position held jointly in the Department of Philosophy (51%) and the Department of Statistical Sciences (49%) in the area of Philosophy and Statistics. The appointment will be at the rank of Assistant Professor and will commence July 1, 2020, or shortly thereafter.
Candidates must hold a PhD 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 demonstrated through teaching accomplishments, the statement of teaching philosophy, sample course materials, teaching evaluations, and the teaching dossier 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 Philosophy. For more information about the Department of Statistical Sciences see our website at Statistics.
All qualified candidates are invited to apply online by clicking the link below.
The following elements of the application must submitted online (in pdf format only) by November 4, 2019:
• (1) a cover letter and a current curriculum vitae, combined in a file labelled “1903570-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 “1903570-YourLastName research.pdf”;
• (3) a teaching dossier (including a statement of teaching philosophy, sample course materials, and teaching evaluations) in a file labelled “1903570-YourLastName teaching.pdf”.
Applicants must also ask at least three referees, but no more than four, to send letters that are signed and on letterhead directly to search.philosophy@utoronto.ca by November 4, 2019 (if you use Interfolio, please have them send the letters directly to PhilosophySearch.
General submission guidelines can be found at: how to apply.
If you have questions about this position, please contact PhilosophySearch.
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.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.