Assistant 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 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. 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

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.

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.