Assistant Professor - Statistical Learning Theory
About the role
Date Posted: 07/13/2026Closing Date: 11/09/2026, 11:59PM ETReq ID: 48743Job Category: Faculty - Tenure Stream (continuing)Faculty/Division: Faculty of Arts & ScienceDepartment: Department of Statistical SciencesCampus: St. George (Downtown Toronto)Existing Vacancy: Yes 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 Statistical Learning Theory 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 the area of Statistical Learning Theory. 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. 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. 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.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 signed reference letters, must be received by November 9, 2026.All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/32307 Applicants must submit the following materials:
a cover letter; a current curriculum vitae; a complete teaching dossier, including
a teaching statement, sample syllabi and course materials, and teaching evaluations
Applicants must also arrange to have three 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.CAUTION: This ad is “posted only” to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity StatementThe 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 StatementThe 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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About University of Toronto
The Department of Leadership, Higher & Adult Education (LHAE) at the Ontario Institute for Studies in Education is a dynamic and inclusive learning community comprised of scholars focused on educational leadership and administration, policy and change, social justice, and community engagement.
Our department considers education broadly, as it occurs inside and outside of formal educational settings. Our courses and programs consider relations between different social settings, such as families, workplaces, local communities, and national and international contexts.
Themes running through our research and teaching include equity and social justice, professional education, policy studies, educational leadership and organizations and adult learning within institutions and settings.
Similar Jobs
Assistant Professor - Statistical Learning Theory
About the role
Date Posted: 07/13/2026Closing Date: 11/09/2026, 11:59PM ETReq ID: 48743Job Category: Faculty - Tenure Stream (continuing)Faculty/Division: Faculty of Arts & ScienceDepartment: Department of Statistical SciencesCampus: St. George (Downtown Toronto)Existing Vacancy: Yes 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 Statistical Learning Theory 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 the area of Statistical Learning Theory. 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. 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. 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.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 signed reference letters, must be received by November 9, 2026.All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/32307 Applicants must submit the following materials:
a cover letter; a current curriculum vitae; a complete teaching dossier, including
a teaching statement, sample syllabi and course materials, and teaching evaluations
Applicants must also arrange to have three 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.CAUTION: This ad is “posted only” to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity StatementThe 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 StatementThe 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.
Not the right fit? Search for Assistant Professor jobs in Toronto, Ontario, Canada
About University of Toronto
The Department of Leadership, Higher & Adult Education (LHAE) at the Ontario Institute for Studies in Education is a dynamic and inclusive learning community comprised of scholars focused on educational leadership and administration, policy and change, social justice, and community engagement.
Our department considers education broadly, as it occurs inside and outside of formal educational settings. Our courses and programs consider relations between different social settings, such as families, workplaces, local communities, and national and international contexts.
Themes running through our research and teaching include equity and social justice, professional education, policy studies, educational leadership and organizations and adult learning within institutions and settings.