Date Posted: 12/01/2022
Closing Date: 01/10/2023, 11:59PM ET
Req ID: 25241
Job Category: Faculty - Teaching Stream, Contractually Limited Term Appointment
Faculty/Division: Faculty of Information
Department: Faculty of Information
Campus:St. George (Downtown Toronto)
Description:
The Faculty of Information at the University of Toronto invites applications for one (1) two-year Contractually Limited Term Appointment (CLTA) at the rank of Assistant Professor, Teaching Stream in the area of human-centered data science. The appointment is expected to begin July 1, 2023.
The Faculty of Information (iSchool) at the University of Toronto is a research-led Faculty, committed to educating the next generation of information professionals, museum professionals, 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 award-winning faculty members, our key strengths are the quality of our interdisciplinary research, the abilities of our graduate students, close ties across the university, and a committed alumni. Our strategic priorities are excellence through interdisciplinarity, impact through partnerships, and equity through fostering inclusive environments. The Faculty of Information is especially proud of the calibre, excellence, academic engagement, and diversity of the students it recruits, admits, and graduates.
Applicants must have at least a Master\xe2\x80\x99s degree in Information, Computer Science, Engineering, Informatics, Statistical Sciences, or a related area by the time of application. A PhD in a related field by the time of appointment or shortly thereafter is strongly preferred. For candidates with a Master\xe2\x80\x99s degree, preference will be given to those with professional experience in industry and/or teaching. Candidates must also have a demonstrated record of excellence in teaching.
Candidates must also have a demonstrated record of excellence in teaching. We seek applicants who can teach human-centered approaches to technology in areas such as but not limited to: artificial intelligence; machine learning; algorithmic fairness, accountability, transparency and bias; database systems; data analytics; business intelligence; and technology ethics and values.
The successful candidate\xe2\x80\x99s teaching interests will complement and build upon our existing strengths ( https://ischool.utoronto.ca/).
Applicants should demonstrate intellectual curiosity and drive to pursue innovative pedagogical methods and interest in being part of a teaching community. The successful candidate will join a Faculty with an established community of teaching stream faculty, where teaching and learning are seen as central to the scholarly enterprise, and where there are extensive supports for teaching at both the university - and faculty-level.
Teaching stream faculty members 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 teaching approaches in a manner that challenges students to develop skills 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 experience, including lecture preparation and delivery, and curriculum development. Additionally, candidates must possess a demonstrated commitment to excellent and innovative pedagogical practices. Publications in pedagogical approaches and an engagement in teaching-related scholarly activities 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 publications, other pedagogical or tutorial materials and activities (e.g., multimedia assets), evidence of Scholarship of Teaching and Learning (SoTL), strong letters of reference, and the teaching dossier submitted as part of the application that should include a strong teaching statement, sample syllabi, course materials, and teaching evaluations. Teaching excellence will be evaluated commensurate with the career stage of the candidate, taking into consideration the life, trajectory and any special circumstances (e.g., career interruptions) as outlined in the submitted materials.
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.
All qualified candidates are invited to apply online by clicking the link below. Applications must include:
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