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Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Statistical Sci...

Employer
University of Toronto
Location
Toronto, ON

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Faculty Jobs
Engineering & Mathematics, Mathematics, Statistics
Position Type
Assistant Professor
Employment Type
Full Time
Institution Type
Four-Year Institution

Job Details

Assistant Professor, Teaching Stream - Contractually Limited Term Appointment - Statistical Sciences

Date Posted: 03/14/2024
Closing Date: 04/25/2024, 11:59PM ET
Req ID: 35956
Job Category: Faculty - Teaching Stream, Contractually Limited Term Appointment
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)

Description:

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for up to three (3) contractually-limited term appointments (CLTA) in the field of Statistical Sciences. Each appointment will be at the rank of Assistant Professor, Teaching Stream for a one-year term with an anticipated start date of July 1, 2024.

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 applicants from those communities to apply.

Applicants are required to have earned a Ph.D. in Statistics, Biostatistics, Data Science or a related field by the time of appointment or shortly thereafter. Alternatively, applicants are required to have (i) a Masters in Statistics, Biostatistics, Data Science or related field with (ii) at least 18 months of excellent teaching experience in a degree-granting program/post-secondary institution, and (iii) demonstrated excellent scholarly or creative professional activity in areas such as, but not limited to, exemplary teaching practices, development of pedagogical software tools, course or curriculum development, or engagement with Statistics, Biostatistics and/or Data Science Education research.

Applicants must have a minimum of one-year experience teaching a variety of university level, degree granting courses in Statistics, Biostatistics or Data Science that include computation using R, Python, or another programming language, including lecture preparation and delivery, curriculum development, and development of online material/lectures. The successful applicant should be prepared to teach advanced and introductory undergraduate statistics and data science courses to students with a range of mathematical and computational backgrounds. A full list of courses can be found at https://artsci.calendar.utoronto.ca/section/Statistical-Sciences.

Applicants must have a demonstrated record of excellence in teaching statistics, biostatistics or data science teaching, including lecture preparation and delivery of innovative course materials, activities and assessments with a demonstrated commitment to pedagogical growth. Experience teaching large classes is considered an asset. Additionally, applicants must possess a demonstrated commitment to excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities. We seek applicants whose teaching interests complement and strengthen our existing departmental strengths in Statistical Sciences.

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.

Applicants 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 applicants are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/27350 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 applicants who value diversity and whose teaching and service bear out our commitment to equity. Applicants therefore must submit a 1‐2 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 recent letters of reference (on letterhead, dated and signed) uploaded through Academic Jobs Online directly by the writers by the closing date. At least one reference letter must primarily address the candidate’s teaching.

All application materials, including signed recent reference letters, must be received by April 25, 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.


Job Segment: Statistics, Curriculum Development, Equity, Teacher, Data, Education, Finance, Research

Organization

Established in 1827, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. U of T's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities continually attract outstanding students and academics from around the world.

U of T is committed to providing a learning experience that benefits from both a scale almost unparalleled in North America and from the close-knit learning communities made possible through its college system and academic divisions. Located in and around Toronto, one of the world's most diverse regions, U of T's vibrant academic life is defined by a unique degree of cultural diversity in its learning community.The University is sustained environmentally by three green campuses, where renowned heritage buildings stand beside award-winning innovations in architectural design.

 

U of T is one of Canada’s Top 100 Employers.
U of T is one of Canada's Best Diversity Employers.

 

Are you looking for a challenging, meaningful career in a supportive and diverse environment?

Work where the world comes to think.

Work where the world comes to discover.

Work where the world comes to learn.

 

Opportunities exist for people from a wide range of backgrounds, ranging from recent graduates to experienced senior professionals.

We offer challenging work within an open environment that celebrates diversity in all its forms. Our focus is on creating a positive work environment that attracts and retains excellent employees through a combination of competitive compensation, favourable working conditions, opportunities for career growth and development and a unique organizational culture.

Employees have access to:

  • Excellent health and dental benefits;
  • On-site support for training and career development;
  • Flexible work arrangements;
  • Childcare subsidy;
  • Tuition waivers;
  • Scholarships and/or tuition waivers for dependants;
  • Generous paid time off;
  • Support on equity and diversity issues;
  • On-site child care;
  • University Pension Plan;
  • Subsidized athletic facility membership;
  • World-renowned libraries;
  • Confidential counselling services;
  • Parking and TTC Metropasses;
  • Employee and Family Assistance Plan;
  • Continued health benefits for pensioners.

 

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