Assistant Professor – Statistical Sciences

Canadian Mathematical Society; Ottawa; On-site; CAD 70,000 - 110,000; Full time

Job summary

An established academic institution is seeking an Assistant Professor in Statistical Sciences, focusing on Bayesian statistics and uncertainty quantification. This full-time tenure stream position offers a unique opportunity to engage in innovative research and teaching at a prestigious university. The successful candidate will be expected to develop a competitive research program and contribute to the educational mission of the department. The role emphasizes a commitment to equity, diversity, and inclusion, encouraging applications from underrepresented communities. Join a vibrant academic community dedicated to excellence and diversity in education and research.

Qualifications

• Candidates must have a PhD in Statistics or related area.
• Demonstrated excellence in research and teaching is required.

Responsibilities

• Conduct independent research in Statistical Sciences at an international level.
• Contribute to undergraduate and graduate teaching and supervision.

Skills

Bayesian statistics

Uncertainty quantification

Research excellence

Teaching excellence

Diversity and inclusion

Education

PhD in Statistics or related area

Job description

Assistant Professor – Statistical Sciences

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 & 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 to apply.

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 contributions to equity and diversity, which might cover topics such as (but not limited to): research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.

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.

All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/29880. 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; as well as an EDI statement as described 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 May 7, 2025.

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 [e-mail].