Posted last month
Assistant Professor, Data Science Computation
@ Mobility
Toronto, Ontario
Overview
The University of Toronto's Department of Statistical Sciences is hiring a full-time, tenure-stream Assistant Professor in Data Science Computation, starting July 1, 2027, at 700 University Avenue, Toronto. The role centres on research in computational methods for data science and on teaching. Candidates need a PhD in a related discipline and a record of research and teaching excellence.
Responsibilities:
- Conduct research on computation in data science
- Teach in the Department of Statistical Sciences
- Develop theoretical and methodological research program
- Mentor students and diverse groups
Requirements summary:
- PhD in Statistics, Computer Science, Data Science or related field
- Record of excellence in research and teaching
- Publications in top-ranked journals
- Commitment to equity, diversity and inclusion
Tools & skills
Source and dates
Employer career site / ATS feed · breezy
- Employer posting date
- 2026-10-04
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Education |
| Hours per week | 40 (estimated) |
| Work setting | Office, School |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | Racialized people |
| Education | Doctorate (required) |
| Fields of study | Statistics, Computer Science, Data Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mobility
| Field | Value |
|---|---|
| Open jobs on Jobsy | 34 |
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 Data Science Computation and adjacent fields, based at 700 University Avenue, Toronto, ON. The appointment will be at the rank of Assistant Professor, with an anticipated start date of July 1, 2027.
Research focus:
We seek 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.
Qualifications:
- PhD in Statistics, Computer Science, Data Science, or a closely related discipline (earned by the time of appointment or shortly thereafter)
- Demonstrated record of excellence in research and teaching in Data Science Computation or adjacent fields
- Evidence of research excellence: publications in top-ranked journals, research statement, conference presentations, awards, and strong referee endorsements
- Evidence of teaching excellence: teaching accomplishments, teaching dossier, and strong letters of reference
- Commitment to equity, diversity, inclusion, and collegial learning environments
- Experience working with, teaching, or mentoring diverse groups is preferred
The University of Toronto is committed to equity, diversity, and excellence, and strongly welcomes and encourages applications from Black, Indigenous, and other Racialized communities.
To apply, click Apply to submit your application through the original job posting.
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