(posted 2023/10/05, listed until 2023/12/05)| Position ID: | UTSC-CMS-CSTGS [#26083] |
| Position Title: | Assistant Professor, Teaching Stream - Computer Science |
| Position Type: | Tenured/Tenure-track faculty |
| Position Location: | Scarborough, Ontario M1C1A4, Canada [map] |
| Subject Areas: | Computer Science / All areas, Teaching Stream Appointment |
| Appl Deadline: | 2023/12/05 11:59PM (posted 2023/10/05, listed until 2023/12/05) |
| Position Description: |
The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC) invites applications for a full-time teaching stream position in the area of Computer Science. The appointment will be at the rank of Assistant Professor, Teaching Stream with an expected 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 cfrederick@bipocsearch.com. Applicants must have earned a PhD degree in Computer Science, or a closely related area, by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in teaching. We seek candidates whose teaching interests complement and enhance our existing departmental strengths. Candidates must have teaching experience in a degree-granting program at the undergraduate level, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Additionally, candidates must possess a demonstrated commitment to excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities. We are interested in applicants from any area of computer science. Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application (with required materials outlined below) as well as strong letters of reference from referees of high standing. 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. Salary will be commensurate with qualifications and experience. The University of Toronto is an international leader in Computer Science research and education. We seek candidates who demonstrate the intellectual curiosity and drive to pursue innovative pedagogical methods and are interested in establishing a long-term career as a teaching stream faculty member in the department. The successful candidate will join a vibrant group of teaching stream faculty, who are engaged in pedagogical and curricular innovations and research. Faculty are expected to combine their expertise in the discipline with best practices in teaching to create rich learning environments that embrace diversity, promote equity, and integrate research in a manner that challenges students to develop skills and ethics to be leading citizens. In addition to teaching, the successful candidates will be expected to perform standard professional and administrative activities typical of an academic department, and to collaborate with colleagues on program development. All qualified applicants are invited to apply online through AcademicJobsOnline, https://academicjobsonline.org/ajo/jobs/26083. Applicants must submit a cover letter; a current curriculum vitae; a complete teaching dossier to include a strong statement of teaching philosophy, sample syllabi, course materials, and teaching evaluations; along with the names and email addresses of at least three referees; as well as an EDI statement as described above. Applicants must arrange to have at least three recent letters of reference uploaded through AcademicJobsOnline directly by the referees. At least one reference must primarily address the candidate’s teaching. Applicants remain responsible for ensuring that references submit recent letters (on letterhead, dated, and signed) by the closing date. For more information about the Department of Computer and Mathematical Sciences, please visit our home page at http://www.utsc.utoronto.ca/cms/. If you have any questions regarding this position, please contact the Associate Chair of Computer Science, Dr. Anya Tafliovich (anya@cs.utoronto.ca). For questions regarding any aspect of the application process, please contact Jolyn Duan (jolyn.duan@utoronto.ca). Review of applications will begin after November 14, 2023; however, applications will be accepted until December 5, 2023. All application materials, including recent signed reference letters, must be received by December 5, 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. 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. |
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