University of Toronto, Statistical Sciences

Position ID:UofT-Statistical Sciences-TEACHSTREAM2 [#27278]
Position Title: Assistant Professor, Teaching Stream, Statistical Sciences
Position Type:Teaching stream faculty
Position Location:Toronto, Ontario M5G 1Z5, Canada [map] sort by distance
Subject Areas: Statistics
Computer Science
Data Science
Appl Deadline:2024/04/30 11:59PMhelp popup* (posted 2024/03/04, listed until 2024/09/04)
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, teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of August 1, 2024.

 

Applicants must have earned a PhD in Statistics, Computer Science, Data Science or a related area by the time of appointment, or shortly thereafter. Candidates must have a demonstrated record of excellence in teaching. We seek candidates whose teaching interests complement and strengthen our existing departmental strengths.

 

Candidates must have teaching expertise in a degree granting program at the undergraduate program level for Statistics majors and those with a significant computational component, including lecture preparation and delivery, curriculum development, and development of online materials/lectures. Candidates must also have experience in collaborating on data analysis with non-statisticians. Additionally, candidates must possess a demonstrated commitment to excellent pedagogical practices and a demonstrated interest in teaching-related scholarly activities.

 

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.

 

Evidence of excellence in teaching and a commitment to pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application including a strong teaching statement, sample syllabi and course materials, and teaching evaluations, as well as strong letters of reference from referees of high standing.

 

 

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.

 

Salary will be commensurate with qualifications and experience.

 

All qualified candidates are invited to apply online at Academic Jobs Online,and must submit a cover letter; a current curriculum vitae; and a complete teaching dossier to include a teaching statement, sample syllabi and course materials, and teaching evaluations. Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose teaching and service bear out our commitment to equity. Candidates are therefore also asked to submit a 12 page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups.

 

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.

 

All applicant materials, including recent signed reference letters, must be received by April 16, 2024.



For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca or 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.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
www.statistics.utoronto.ca
 
700 University Avenue
Suite 9005
Toronto, ON M5G 1X6