Assistant Professor, Teaching Stream – Statistics

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The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough invites applications for a full-time teaching stream appointment in the area of Statistics. The appointment will be at the rank of Assistant Professor, Teaching Stream with an expected start date of July 1, 2020, or shortly thereafter. 

Applicants must have earned a PhD degree in Statistics or a closely related area by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in teaching. We seek candidates whose teaching interests complement and strengthen our existing departmental strengths. Candidates must have teaching expertise in a degree granting program at the undergraduate level, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Additionally, candidates must possess a demonstrated commitment to excellent pedagogical practices and a demonstrated interest in teaching-related scholarly activities. 

Evidence of excellence in teaching and pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application including a strong teaching statement, sample syllabi, course materials, and teaching evaluations, as well as strong letters of reference from referees of high standing. 

The University of Toronto is an international leader in Statistics research and education.  We seek candidates who possess the demonstrated intellectual curiosity and drive to pursue innovative pedagogical methods, and are interested in establishing a long-term career as a teaching-stream faculty member in the department. The successful candidate will join a vibrant group of teaching-stream faculty, who are engaged in pedagogical and curricular innovations and research.  Faculty are expected to combine their expertise in the discipline with best practices in teaching to create rich learning environments that embrace diversity, promote equity, and integrate research in a manner that challenges students to develop skills and ethics to be leading citizens.  In addition to teaching, the successful candidate will be expected to perform standard professional and administrative activities typical of an academic department, and to collaborate with colleagues on program development.  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 through MathJobs, https://www.mathjobs.org/jobs/jobs/14753.  Applications must include a cover letter, a current curriculum vitae, teaching dossier (including statement of teaching philosophy, course outlines, course evaluations, and selected course materials), along with the names and email addresses of at least three referees. Applicants must arrange to have at least three letters of reference, including at least one primarily addressing the candidate's teaching, uploaded through MathJobs directly by the referees. Review of applications will begin after December 2, 2019 and applicants should endeavor to have all materials submitted by then, however applications will be accepted until the position is filled.

For questions about this position, please contact Jolyn Duan at jolyn.duan@utoronto.ca. For more information, please see our website http://www.utsc.utoronto.ca/cms/

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.