Assistant Professor - Machine Learning, Applied and Theoretical Statistics

University of Toronto; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading Canadian university in Toronto is seeking an Assistant Professor specializing in Machine Learning and Applied and Theoretical Statistics. The position involves pursuing independent research, teaching, and contributing to a diverse environment. A PhD is required, along with a strong record in research and teaching. The appointment is full-time and tenure-stream, with an expected start date of July 1, 2026.

Qualifications

• Demonstrated record of excellence in research and teaching.
• Evidence of research excellence through publications and presentations.
• Strong endorsements from referees of high standing.

Responsibilities

• Pursue innovative and independent research at the highest international level.
• Establish an outstanding, competitive, and externally funded research program.
• Contribute to teaching and mentorship in the department.

Skills

Research excellence

Teaching excellence

Diversity and inclusion

Education

PhD in Statistics, Mathematics, Computer Science or related

Job description

Assistant Professor - Machine Learning, Applied and Theoretical Statistics

Date Posted: 09/15/2025
Closing Date: 11/03/2025, 11:59PM ET
Req ID: 44064
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: University of Toronto Mississauga
Department: UTM: Department of Mathematical and Computational Sciences
Campus: University of Toronto Mississauga (UTM)

Description:

The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for a full-time tenure stream appointment in the areas of Machine Learning, Applied and Theoretical Statistics. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2026.

Applicants must have earned a PhD degree in Statistics, Mathematics, Computer Science or related field by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek exceptional candidates whose research and teaching interests complement and enhance our existing departmental strengths. The successful candidate will be expected to pursue innovative and independent research at the highest international level and establish an outstanding, competitive, and externally funded research program. The successful candidate will be a member of the tri-campus graduate Department of Statistical Sciences at the University of Toronto. For further information about our graduate department, please go to the departmental website https://www.statistics.utoronto.ca/ and research website https://www.statistics.utoronto.ca/research

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

Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier (with required materials listed below) submitted as part of the application, as well as strong letters of reference.

Salary will be commensurate with qualifications and experience.

At UTM, we are committed to fostering an environment of diversity and inclusion. With an enviable diverse student body, we especially welcome applications from candidates who identify as Indigenous, Black, or racially visible (persons of colour), and who have experience working with, teaching, or mentoring diverse groups or students. Candidates must demonstrate, in their application materials, an ability to foster diversity on campus and within the curriculum or discipline. They must show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial environment. Candidates must submit a statement describing their contributions to equity, diversity, and inclusion, which might cover topics such as (but not limited to): teaching that incorporates a focus on underrepresented communities; efforts undertaken to develop inclusive pedagogies, collaboration, and engagement with underrepresented communities; and mentoring of students from underrepresented groups. If you have questions about this statement, please contact Professor Ilia Binder, Chair, at [e-mail].

All qualified candidates are invited to apply through AcademicJobsOnline at https://academicjobsonline.org/ajo/jobs/XXXXX. Applicants must submit a cover letter; a current curriculum vitae; a statement describing contributions to equity, diversity, and inclusion (as outlined above); a list of publications, a research statement outlining current and future research interests, and a teaching dossier to include a teaching statement, sample course syllabi, and teaching evaluations. Applicants must also arrange to have at least four recent letters of reference (on letterhead, dated and signed) uploaded through AcademicJobsOnline directly by the writers, including at least one primarily addressing the candidate's teaching. The letters must be uploaded by the closing date.

All application materials, including recent reference letters, must be received by November 3, 2025.

Caution: This ad is “posted only” to the U of T faculty job board. Please see the information above for the 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].