Associate Professor/Professor - Data Science Computation

Position Description

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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 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 (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

Applicants must have earned a PhD degree in
Statistics, Computer Science, Data Science, or a closely related discipline by
the time of appointment, with a clearly 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. Candidates must have an established international reputation.

We seek candidates
whose research and teaching interests complement and strengthen our existing
departmental research areas https://www.statistics.utoronto.ca/research.

Candidates must 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.

Evidence of excellence
in teaching will be demonstrated through teaching accomplishments, the teaching
dossier (including the required materials outlined below), and 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

Candidates will be
expected to sustain and lead innovative and independent research at the highest
international level and to maintain an outstanding, competitive, and externally
funded program.

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

HIRING SALARY RANGE

The rank and salary
will be commensurate with qualifications and experience. The salary range for
this position exceeds $200,000 CAD per annum.

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/32804.%20">. Applicants must submit the following materials:

·
a cover letter;

·
a current curriculum vitae;

·
a research statement outlining current and future research interests;

·
one recent publication;

·
a complete teaching dossier, including

o
a teaching statement,

o
sample syllabi and course materials, and

o
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.

The University of Toronto has adopted the AAU Principles on Preventing
Sexual Harassment in Academia, including the requirement that applicants
release personnel information from prior employers regarding sexual misconduct.
Full details and requirements can be found here.

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.