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About the Role
The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream position in the area of Data Science Computation or adjacent fields. The appointment will be at the rank of Associate Professor or Professor, with an anticipated start date of July 1, 2027. This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members. 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.
Responsibilities
- Sustain and lead innovative and independent research at the highest international level.
- Maintain an outstanding, competitive, and externally funded program.
- Be assigned a teaching and service load.
Requirements
- Must have earned a PhD degree in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment.
- Must have a clearly demonstrated record of excellence in research and teaching in Data Science Computation or adjacent fields.
- Seeking exceptional candidates whose research advances the theoretical and methodological foundations of computation in data science, including sampling and simulation, computational inference, optimization, randomized numerical methods, and scalable algorithms for high-dimensional problems, with particular interest in statistical-computational tradeoffs, complexity, convergence, and theoretical guarantees.
- Candidates must have an established international reputation.
- Seek candidates whose research and teaching interests complement and strengthen existing departmental research areas.
- Provide evidence of research excellence, as demonstrated by a record of sustained high-impact contributions and publications in top-ranked and field relevant journals, the submitted research statement, presentations at significant conferences, distinguished awards and accolades, and other noteworthy activities that contribute to the visibility and prominence of the discipline, as well as strong endorsements from referees of high standing.
- Provide evidence of excellence in teaching, demonstrated through teaching accomplishments, the teaching dossier, and strong letters of reference.
- 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.
- All applicant materials, including recent signed reference letters, must be received by December 7, 2026.
- Applicants must submit a cover letter, a current curriculum vitae, a research statement outlining current and future research interests, one recent publication, and a complete teaching dossier.
- Applicants must also arrange to have three recent letters of reference uploaded through Academic Jobs Online directly by the writers by the closing date.
- All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Skills
- Data Science Computation
- Sampling and simulation
- Computational inference
- Optimization
- Randomized numerical methods
- Scalable algorithms for high-dimensional problems
- Statistical-computational tradeoffs
- Complexity
- Convergence
- Theoretical guarantees
Location
- St. George (Downtown Toronto)
Work Type
- Full-time
- Tenure Stream
Experience Level
- Associate Professor
- Professor
Education Level
- PhD degree in Statistics, Computer Science, Data Science, or a closely related discipline
Salary/Compensations
- Exceeds $200,000 CAD per annum
About the Company
- For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca.
- For more information on working at the University of Toronto, please visit https://www.utoronto.ca/research-innovation/working-at-uoft.
- 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.
- The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members.
- The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA).
Equal Opportunity
- Statement on Equity, Diversity & Excellence
- We strongly welcome and encourage candidates from Black, Indigenous, and other Racialized communities to apply.
- 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.
- Equity, diversity, and inclusion are essential to academic excellence as articulated in University of Toronto's Statement on Equity, Diversity and Excellence.
- We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.
- The University 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.
- 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.