The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC) invites applications for a full-time tenure stream position in the area of Statistical Sciences. The appointment will be at the rank of Associate Professor or Professor with an anticipated start date of July 1, 2024, or shortly thereafter.
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.
In addition, the University of Toronto Scarborough is implementing its Strategic Plan: Inspiring Inclusive Excellence. Consistent with the values and objectives in that plan, we especially welcome candidates who self-identify as Indigenous or those who have lived experience in Black or other racialized (persons of colour) communities. The University is partnering with BIPOC Executive Search. Those seeking more information and guidance during the application process can email Candice Frederick or Jason Murray at email@example.com.
Applicants must have earned a PhD degree in Statistics, or a related area, with a clearly demonstrated outstanding record of excellence in research and teaching. We seek exceptional candidates whose research and teaching interests complement and strengthen our existing departmental research areas. Candidates will have an established international reputation and will be expected to sustain and lead innovative and independent research at the highest international level, and to maintain an outstanding, competitive, and externally funded research program. Experience working with, teaching, or mentoring diverse groups or diverse students is an asset.
Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact contributions and publications in top-ranked and field-relevant journals, the submitted research statement, presentations at significant conferences, distinguished awards and accolades, and other noteworthy activities that contribute to the visibility and prominence of the discipline, as well as strong endorsements from referees of high standing.
Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier submitted as part of the application (with required materials outlined below), as well as strong letters of reference. Professional or lived experiences that enhance the ability to teach a diverse student body are highly valued.
Equity and diversity are essential to academic excellence. We seek candidates who value diversity and whose research, teaching and service bear out our commitment to equity. Candidates must also show evidence of a commitment to equity, diversity, inclusion, and to the promotion of a respectful and collegial learning and working environment, as demonstrated through the application materials. Candidates are therefore also asked to submit a 1‐ to 2- page statement of contributions to equity and diversity, which might cover topics such as (but not limited to): research or teaching that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups. The statement should describe how the candidate’s lived experience has influenced their understanding of and commitment to equity, diversity, inclusion (EDI), the promotion of a respectful and collegial learning and working environment, as well as examples of how it is reflected in their research or teaching.
The successful candidate will also have an appointment in the tri-campus Graduate Department of Statistical Sciences at the University of Toronto. The successful candidate will be expected to contribute to undergraduate and graduate teaching and supervision, and to participate actively in the Graduate Department of Statistical Sciences.
Salary and rank will be commensurate with qualifications and experience.
The University of Toronto offers the opportunity to teach, conduct research, and live in one of the most diverse metropolitan areas in the world. It is an international leader in Statistics research and education. For questions about the position, please contact Jolyn Duan at firstname.lastname@example.org and for more information about our department, please see our website http://www.utsc.utoronto.ca/cms/.
All qualified candidates are invited to apply online through Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/26084. Applicants must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample (of no more than 15 pages); and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations; as well as an EDI statement as described above.
Applicants must also arrange to have three recent letters of reference uploaded through Academic Jobs Online directly by the referees. Applicants remain responsible for ensuring that references submit recent letters (on letterhead, dated, and signed) by the closing date.
All application materials, including recent signed reference letters, must be received by November 15, 2023.
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.
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.
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@example.com.