Assistant Professor – Statistical Sciences

Date Posted: 10/11/2024

Closing Date: 11/19/2024, 11:59PM ET

Req ID: 39810

Job Category: Faculty – Tenure Stream (continuing)

Faculty/Division: University of Toronto Scarborough

Department: Department of Computer and Mathematical Sciences

Campus: University of Toronto Scarborough (UTSC)

Description:

The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC) invites applications for a full-time tenure stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2025. 

Applicants must have earned a PhD degree in Statistics, or a related area by the time of appointment, or shortly thereafter, and demonstrate a record of excellence in research and teaching. Candidates in all areas of Statistics will be considered, though candidates must have established strength in statistical theory and methods relevant to the health sciences. The successful candidate will have a demonstrated capacity to contribute to an undergraduate curriculum in the health sciences, which may be demonstrated through teaching accomplishments and experience, a research agenda that addresses questions relevant to the health sciences, and endorsement from referees. We seek exceptional candidates whose research and teaching interests complement and strengthen our existing departmental strengths. The successful candidate will be expected to mount independent and innovative research, and to establish an outstanding, competitive, and externally funded research program. The candidate is expected to contribute to initiatives associated with the new Scarborough Academy of Medicine and Integrated Health (SAMIH).

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

Evidence of excellence in teaching will be demonstrated by teaching accomplishments, and the teaching dossier, including a teaching statement, sample course materials, and teaching evaluations or other evidence of superior performance in teaching-related activities submitted as part of the application, as well as strong letters of reference. Other teaching-related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters.

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

The successful candidate will also have an appointment in the tri-campus Graduate Department of Statistical Sciences at the University of Toronto. The successful candidate will be expected to contribute to undergraduate and graduate teaching and supervision, and to participate actively in the Graduate Department of Statistical Sciences.

Salary will be commensurate with qualifications and experience.

The University of Toronto offers the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world. It is an international leader in Statistics research and education. For questions about the position, please contact Weixuan Wang, Coordinator, Office of the Chair, at [email protected] and for more information about our departments, please see our websites https://www.utsc.utoronto.ca/cms/ and https://www.statistics.utoronto.ca.

All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/28817. Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample (of no more than 15 pages); and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations or evidence of superior performance in other teaching-related activities as listed above.

Applicants must also arrange to have three recent letters of reference uploaded through Academic Jobs Online directly by the referees. Applicants remain responsible for ensuring that references submit recent letters (on letterhead, dated, and signed) by the closing date.

All application materials, including recent signed reference letters, must be received by November 19, 2024.

Caution: This ad is “posted only” to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position. 

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 [email protected].

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