Date Posted: 04/02/2025 Closing Date: 05/07/2025, 11:59PM ET Req ID: 41528 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, with a focus on the theory of Bayesian statistics and uncertainty quantification. The appointment will be at the rank of Assistant Professor, with an anticipated start date of September 1, 2025. This search aligns with the University's commitment to strategically and proactively promote diversity among our community members ( Statement on Equity, Diversity and Excellence ). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities . In addition, the University of Toronto Scarborough is implementing its Strategic Plan: I nspiring Inclusive Excellence . Consistent with the values and objectives in that plan, we especially welcome candidates who self:identify as Indigenous or those who have lived experience in Black or other racialized (persons of colour) communities. This position is part of a cohort of similar faculty searches in Anthropology, Arts, Culture and Media, Biological Sciences, Management, and Physical and Environmental Sciences. New colleagues will have the opportunity to be connected with previous cohorts of faculty from under:represented groups, including those hired through targeted efforts in the last four years in departments spanning the Sciences, Social Sciences, and Humanities. 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. 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, innovative 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, 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. Professional or lived experiences that enhance the ability to teach a diverse student body are highly valued. Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. 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. Candidates are asked to submit a 1: to 2:page statement of contributi