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Added 52 mins ago
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Simon Fraser University is a leading research university, advancing an inclusive and sustainable future. Our purpose – the essence of SFU – is to create and connect knowledge, learning and…
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The University of Toronto Engineering Society

Assistant Professor – Data Science Computation

Toronto, ON, Canada

$140,000 to $190,000 CAD / year · Full-time

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Job details

Pay: $140,000 to $190,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

Position 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 the area of Data Science Computation and adjacent fields. The appointment will be at the rank of Assistant 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 (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.

Requirements And Qualifications

Candidates must have earned a PhD degree in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching in Data Science Computation or adjacent fields. We are seeking exceptional candidates whose research advances the theoretical and methodological foundations of computation in data science, including, but not limited to, 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.

The successful candidate should have experience working with, teaching, or mentoring diverse groups or diverse students is preferred. We seek exceptional candidates whose research and teaching interests complement and strengthen our existing departmental research strengths.

Candidates must provide evidence of research excellence which can be demonstrated through a record of publications in top-ranked and field relevant 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 (the required materials outlined below), as well as strong letters of reference.

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.

Responsibilities

The successful candidate will be expected to establish innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program.

In addition, the successful candidate will be assigned a teaching and service load.

Hiring Salary Range

The expected salary range is $140,000 to $190,000 CAD per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

About Us

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.

Application Process

All applicant materials, including recent signed reference letters, must be received by December 7, 2026.

All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/32803. Applicants must submit the following materials:

a cover letter;
a current curriculum vitae;
a research statement outlining current and future research interests;
a complete teaching dossier, including
a teaching statement,
sample syllabi and course materials, and
teaching evaluations
Applicants must also arrange to have three recent letters of reference (dated, on letterhead and signed) uploaded through Academic Jobs Online directly by the writers by the closing date.

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.

If you have any questions about this position, please contact Katrina Mintis at katrina.mintis@utoronto.ca.

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 uoft.careers@utoronto.ca.

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More about this job

Responsibilities

Establish an innovative, independent research program in data science computation at the highest international level and secure external funding. Contribute to the department’s teaching and service responsibilities.

Requirements

Applicants must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment or shortly thereafter, and demonstrate excellence in research and teaching in data science computation or an adjacent field. Candidates should provide evidence of research and teaching excellence and a commitment to equity, diversity, inclusion, and a respectful, collegial environment; experience working with, teaching, or mentoring diverse groups is preferred.

Skills

Data Science Computation
Statistical Computing
Sampling and Simulation
Computational Inference
Optimization
Randomized Numerical Methods
Scalable Algorithms
High-Dimensional Problems
Statistical-Computational Tradeoffs
Complexity Analysis
Convergence Analysis
Theoretical Guarantees
Research
Teaching
Grant Funding
Equity, Diversity, and Inclusion

Visa sponsorship

Not detected in the job text

Hiring contact

Katrina Mintis

Hiring contact email

katrina.mintis@utoronto.ca

Keywords

Data Science
Data Science Computation
Statistical Sciences
Statistics
Computer Science
Sampling
Simulation
Computational Inference
Optimization
Randomized Numerical Methods
Scalable Algorithms
High-Dimensional Problems
Statistical-Computational Tradeoffs
Complexity
Convergence
Theoretical Guarantees
Research Excellence
Teaching
External Research Funding
Equity, Diversity, and Inclusion
Academic Research
Tenure Stream

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Jobs in Canada