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

Employer
University of Toronto
Location
St. George (Downtown Toronto)

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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: 03/18/2021
Closing Date: 04/30/2021, 11:59PM ET
Req ID: 3282
Job Category: Faculty - 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 a contractually-limited term appointment (CLTA) in Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream for a two-year term anticipated to begin on July 1, 2021 and end June 20, 2023.

Applicants must have at least a Masters degree in statistics, biostatistics or a related discipline by the time of appointment. A PhD in these areas by the time of the appointment, or shortly thereafter, is preferred. Applicants must also have a minimum of one-year experience in teaching a variety of University level courses in statistics and be prepared to teach advanced undergraduate statistics courses such as Methods of Data Analysis I and II and Time Series Analysis as well as more theoretical courses such as Probability and Mathematical Statistics; Applicants must demonstrate excellence in teaching, including lecture preparation and delivery of innovative course materials, activities and assessments and development of online and hybrid material/lectures; and demonstrate a commitment to pedagogical growth including participation and presentations at education conferences and workshops, publications, and pedagogical choices aligned with scholarship of teaching and learning literature and other scholarly work. Experience teaching large classes and online courses are considered assets. We seek exceptional applicants who complement and strengthen our existing strengths in Statistical Sciences.

The University of Toronto is an international leader in statistical science research and education. The successful candidate must have a demonstrated record of excellence in teaching, and a commitment to pedagogical inquiry, student-centred teaching and teaching innovation. This will be demonstrated by outstanding letters of reference from referees of high standing, teaching accomplishments, awards, accolades, presentations at significant conferences, excellent teaching evaluations, a comprehensive teaching statement and an extensive teaching dossier, including sample syllabi and course materials. The successful candidate is expected to contribute significantly to the enrichment of the Department. The successful candidate will join a vibrant intellectual community of world-class scholars at Canada’s leading University.

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.

Applicants must apply online at AcademicJobsOnline, https://academicjobsonline.org/ajo/jobs/18329 and submit a cover letter; a current curriculum vitae and a teaching dossier which includes a teaching statement, sample course 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 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 at least three letters of reference (on letterhead and signed), including at least one primarily addressing the candidate’s teaching, uploaded through AcademicJobsOnline directly by the writers by the closing date.

All applicant materials, including signed reference letters, must be received by April 30, 2021.

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.

Caution: This as is “posted only” to the U of T faculty job board. Please see the information above for the 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 Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

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, Equity, Academic, Teacher, Data, Finance, Education, 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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