University of Toronto, Faculty of Information

Position ID:UofT-iSchool-HCDSTEACHING [#20965]
Position Title: Assistant Professor, Teaching Stream - Human Centered Data Science
Position Type:Non tenure-track faculty
Position Location:Toronto, Ontario M5S3G6, Canada [map]
Subject Area: Data Science / Machine Learning
Appl Deadline:2022/02/07 11:59PMhelp popup (posted 2022/01/16, listed until 2022/02/07)
Position Description:    

*** the listing date or deadline for this position has passed. ***

The Faculty of Information at the University of Toronto invites applications for a full-time teaching stream position at the rank of Assistant Professor, Teaching Stream in the area of Human Centered Data Science (HCDS). The expected start date is July 1, 2022, or shortly thereafter.
 
Applicants must have a Ph.D. in Information, Computer Science, Statistical Sciences, Human-Centered Computing, or a related area by the time of appointment or shortly thereafter, with a demonstrated record of excellence in teaching. We seek applicants whose pedagogical approach takes a human and/or social approach to data science with a core emphasis in statistics/data science/machine learning/artificial intelligence, who demonstrates intellectual curiosity and drive to pursue innovative pedagogical methods, and who are interested in establishing a long-term career as a teaching stream faculty member. The successful candidate’s teaching interests will complement and build upon our existing strengths (https://ischool.utoronto.ca/). Industrial experience in a related area is considered to be an asset.
 
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 cutting-edge research in a manner that challenges students to develop skills, knowledge, and ethics to be leading citizens. The successful candidate will also be expected to perform standard professional and administrative activities typical of an academic unit, and to collaborate with colleagues on curriculum development.
 
Candidates must have teaching expertise in a degree granting program at the undergraduate and/or graduate level, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Additionally, candidates must possess a demonstrated commitment to excellent and innovative pedagogical practices and an engagement in teaching-related scholarly activities. Publications in pedagogy-focused venues such as ACM SIGCSE, the Journal of Statistics and Data Science Education would be an asset. 
 
Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through a mix of teaching accomplishments, awards and accolades, presentations at significant conferences, workshops, panels and events organized, peer reviewed pedagogy-focused publications, other pedagogical or tutorial materials and activities (such as videos, blogposts, coding societies), evidence of Scholarship of Teaching and Learning (SoTL), strong letters of reference from referees of high standing, as well as the teaching dossier submitted as part of the application. The dossier must include a teaching statement, sample syllabi, course materials, teaching evaluations.  
 
As part of the University of Toronto, the Faculty of Information offers the opportunity to teach, research, and live in one of the most diverse cities in the world.   We seek candidates who have demonstrated a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment through their application materials. Candidates, therefore, must submit a statement of contributions to equity and diversity, which might cover topics such as (but not limited to):  teaching or research that incorporates a focus on underrepresented communities, the development of inclusive pedagogies, or the mentoring of students from underrepresented groups. 
 
Salary will be commensurate with qualifications and experience. 
 
The Faculty of Information (iSchool) https://ischool.utoronto.ca/ at the University of Toronto is a research-led Faculty, committed to educating the next generation of professional and academic leaders in Information, who join us in transforming society through collaboration, innovation, and knowledge creation. We are guided by core values that include engagement with cultural, social, political, and ethical issues in information to benefit society and transparency, accountability, and public responsibility. With an outstanding complement of almost 40 award-winning faculty members, our key strengths are the quality of our research, excellence of our students, strong ties across the University, and committed alumni. The Faculty of Information is especially proud of the calibre, academic engagement, and diversity of the students it recruits, admits, and graduates.
 
All qualified candidates are invited to apply online by clicking the link below. Applications must include:

  • a cover letter;
  • a current curriculum vitae;
  • a detailed teaching dossier including a statement of teaching philosophy, a summary of teaching experience, interests, and accomplishments, sample syllabi and course materials, and teaching evaluations;
  • a statement of contributions to equity, diversity, inclusion, and accessibility (as outlined above).

 

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each after an application is submitted (this happens overnight). Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date.  

 

All application materials must be submitted online. Submission guidelines can be found at: http://uoft.me/how-to-apply. If you have questions about this position, please contact dean.ischool@utoronto.ca.
 
All application materials, including reference letters, must be received by the closing date of: February 7, 2022.
 

 

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.

 

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 uoft.careers@utoronto.ca.


We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://jobs.utoronto.ca/job/Toronto-Assistant-Professor%2C-Teaching-Stream-Human-Centered-Data-Science-ON/553991617/.
Contact: Wendy Duff
Email: email
Postal Mail:
140 St. George Street
Toronto, ON M5S 3G6
Canada
Web Page: ischool.utoronto.ca