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Associate/Full Professor, Data Science Computation

@ Mobility

Toronto, Ontario

Full-time
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SIGNALS

Overview

The University of Toronto's Department of Statistical Sciences is hiring a full-time, tenure-stream Associate or full Professor in Data Science Computation, starting July 1, 2027, at 700 University Avenue. The role centres on research and teaching in computational methods for data science, such as sampling, optimization and scalable algorithms. Applicants need an established international research reputation and a PhD in a related field.

Responsibilities:

  • Conduct research on computation in data science
  • Teach postsecondary courses
  • Supervise graduate students
  • Publish in top-ranked journals
  • Present at significant conferences

Requirements summary:

  • PhD in Statistics, Computer Science, Data Science or related discipline
  • Excellence in research with high-impact publications
  • Evidence of teaching excellence
  • Strong referee letters of reference
  • 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

SenioritySenior
DepartmentEducation
Hours per week40 (estimated)
Work settingOffice, School
PositionMostly sitting
Physical demandsphysical low · computer high
Encouraged to applyRacialized people
EducationDoctorate (required)
Fields of studyStatistics, Computer Science, Data Science

Summary and details written by AI from the posting; the employer’s posting is the authority.

Mobility

FieldValue
Open jobs on Jobsy34
Job description

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 or adjacent fields, based at 700 University Avenue, Toronto, ON. The appointment will be at the rank of Associate Professor or Professor, with an anticipated start date of July 1, 2027.

Research focus:

We seek exceptional candidates with an established international reputation 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

- Clearly demonstrated record of excellence in research and teaching, with sustained high-impact contributions and publications in top-ranked journals

- Research statement, presentations at significant conferences, distinguished awards, and strong endorsements from referees of high standing

- Evidence of teaching excellence: teaching accomplishments, teaching dossier, and strong letters of reference

- Commitment to equity, diversity, inclusion, and collegial learning environments

- Research and teaching interests that complement the department's existing strengths

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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