Assistant Professor, Teaching Stream - Statistics

Date Posted: 11/02/2023
Closing Date: 01/04/2024, 11:59PM ET
Req ID: 33013
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: University of Toronto Mississauga
Department: Department of Mathematical and Computational Sciences
Campus: University of Toronto Mississauga (UTM)

Description:

The Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) invites applications for one full-time teaching stream appointment in Statistics. The appointment will be at the rank of Assistant Professor, Teaching Stream, and will commence on July 1, 2024, or shortly thereafter.

We seek candidates who have a record of excellent teaching and demonstrated interest in establishing a long-term teaching career with the Department. A Master’s degree in Statistics or related discipline by the time of the appointment is required; a Ph.D. in Statistics focusing on machine/statistical learning, or a related area is preferred.

Candidates must have teaching interests that complement and enhance existing departmental strengths (see https://www.utm.utoronto.ca/math-cs-stats/home ). We seek enthusiastic and innovative individuals pursuing an academic career in teaching Statistics.

We require that candidates have teaching expertise in a degree granting program at the undergraduate program level, including lecture preparation and delivery, curriculum development, and development of online material/lectures; have demonstrated commitment to excellent pedagogical practices; and have engaged with students both in and out of a course setting (for example, running seminars, contests, workshops, and engaging with student-run initiatives). Preference will be given to candidates who have contributed to departmental administration (for example, through course coordination or by managing TAs) and have supervised undergraduate or graduate research projects. Candidates must demonstrate strong organizational, interpersonal, and communication skills.

Evidence of excellence in teaching and a commitment to excellent pedagogical practices 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, selected course materials, and course evaluations, as well as strong letters of reference from referees of high standing highlighting both excellent teaching and commitment to pedagogical enquiry and teaching innovation.

Salary will be commensurate with qualifications and experience.

At UTM we are committed to fostering an environment of diversity and inclusion. With an enviable diverse student body, we especially welcome applications from candidates who identify as Indigenous, Black, or racially visible (persons of colour), and who have experience working with teaching or mentoring diverse groups or students. Candidates must demonstrate, in their application materials, an ability to foster diversity on campus and within the curriculum or discipline, and must show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial environment. Candidates must submit a statement describing their contributions to equity, diversity, and inclusion, which might cover topics such as (but not limited to): teaching that incorporates a focus on underrepresented communities; efforts undertaken to develop inclusive pedagogies, collaboration, and engagement with underrepresented communities; and mentoring of students from underrepresented groups. If you have questions about this statement, please contact Professor Ilia Binder at [email protected] .

All qualified candidates are invited to apply through MathJobs at https://www.mathjobs.org/jobs/list/23735 . Applicants must submit a cover letter, a current curriculum vitae, a statement describing contributions to equity, diversity, and inclusion (as outlined above), a statement of career goals, and a teaching dossier that includes a teaching philosophy statement, course evaluations, and selected course materials. Applicants must also arrange to have at least three letters of recommendation (on letterhead, dated and signed) addressing teaching, uploaded through MathJobs directly by the writers. The letters must be uploaded by the closing date.

All application materials, including reference letters, must be received by January 4, 2024. For enquiries, please contact Ossian MacEachern, Chair’s Assistant, at [email protected] .

Caution: This ad 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 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.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP .

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] .