Assistant Professor, Teaching Stream - Statistical Sciences

Job description

Assistant Professor, Teaching Stream - Statistical Sciences

Date Posted: 10/08/2020
Closing Date: 11/30/2020, 11:59PM EDT
Req ID: 954
Job Category: Faculty - Teaching Stream (continuing)
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 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 July 1, 2021.


Applicants must have at least a Masters degree in Statistics, Computer Science, Data Science or a related area by the time of appointment. A PhD in a relevant area by the time of the appointment, or shortly thereafter, is preferred. 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 also 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; and 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.

Evidence of excellence in teaching and 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, https://academicjobsonline.org/ajo/jobs/17114 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 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 letters of reference (on letterhead and signed) uploaded through Academic Jobs Online directly by the writers by the closing date.

All applicant materials, including signed reference letters, must be received by November 30, 2020.

For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca or contact Katrina Mintis at [email protected].

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 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, LGBTQ 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 [email protected].


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Job No:
Posted: 10/10/2020
Application Due: 12/1/2020
Work Type:
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