Assistant Professor, Teaching Stream - Human-Centred Data Sciences

University of Toronto; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

The University of Toronto is seeking a full-time Assistant Professor in Human-Centred Data Sciences, beginning July 1, 2026. Ideal candidates will demonstrate teaching excellence and a commitment to diversity and equity in higher education, holding a PhD or a relevant Master's with substantial teaching experience. Responsibilities include teaching and curriculum development at both undergraduate and graduate levels, alongside contributions to educational research.

Qualifications

• PhD preferred or Master's with relevant teaching experience.
• Excellence in teaching and online instruction.
• Commitment to diversity and equity in pedagogy.

Responsibilities

• Teach undergrad and grad courses, contribute to curriculum development.
• Engage in scholarly activities related to teaching and research.
• Leadership opportunities at the Digital Curation Institute.

Skills

Teaching excellence

Curriculum development

Inclusive pedagogy

Technical course teaching

Education

PhD in relevant field

Master’s with 5+ years teaching experience

Tools

Python

R

Database management

Job description

Date Posted: 07/09/2025
Closing Date: 09/04/2025, 11:59PM ET
Req ID: 43238
Job Category: Faculty - Teaching Stream (continuing)
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 a full-time teaching stream position in Human-Centred Data Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream, starting July 1, 2026.

This search aligns with the University’s commitment to diversity and equity (Statement on Equity, Diversity & Excellence). We especially encourage candidates from Black, Indigenous, and other Racialized communities, with a preference for those who self-identify as Indigenous, including First Nations, Métis, Inuk (Inuit), Alaska Native, Native American, and Native Hawaiian peoples.

Applicants must have a PhD by the time of appointment or shortly thereafter. Alternatively, a Master’s degree with at least five years of teaching experience in relevant fields such as Information, Computer Science, Engineering, Statistical Sciences, Information Systems, Software Engineering, or Computational Social Science is acceptable. Preference will be given to PhD holders.

Qualifications:

• Demonstrated excellence in teaching, including curriculum development and online instruction.
• Experience teaching technical courses such as programming, data science, machine learning, and algorithmic fairness.
• Ability to teach at undergraduate and graduate levels across multiple programs.
• Commitment to inclusive pedagogy and fostering diversity and equity in teaching.

Preferred Areas of Expertise:

• Cultural databases, algorithmic fairness, accountability, transparency, bias.
• Public interest technology, data science pedagogy, interdisciplinary research methods.
• Experience with Python, R, database management, human-centered design.

Responsibilities:

Teach at undergraduate and graduate levels, contribute to curriculum development, and engage in scholarly activities related to teaching and research. Leadership opportunities include potential involvement with the Digital Curation Institute.

Application Process:

Applicants must submit:

• A cover letter
• Curriculum vitae (CV)
• Statement of contributions to equity, diversity, inclusion, and accessibility
• Teaching dossier (including statement, sample syllabi, evaluations)
• Three references with contact information

Application materials should be uploaded in PDF or Word format. Review of applications begins immediately and closes on September 4, 2025. For questions, contact Melissa Szopa at dean.ischoolutoronto.ca.

Additional Information:

The University values diversity and encourages applications from Indigenous Peoples, racialized persons, women, persons with disabilities, and those of diverse gender identities. A voluntary Diversity Survey is part of the application process. The University is committed to accessibility and will provide accommodations as needed.