Assistant Professor in Data Science and Information Systems

University of Toronto



Faculty / Division: Faculty of Information

Department: Faculty of Information

Campus: St. George (downtown Toronto)


The Faculty of Information at the University of Toronto invites applications for a two-year Contractually Limited Term Appointment at the rank of Assistant Professor in the area of data science and/or information systems, beginning on July 1, 2019, or shortly thereafter, and ending on June 30, 2021.

We seek individuals who have expertise in data science, machine learning, database systems, data analytics, information systems, business intelligence, and/or software engineering. We seek enthusiastic individuals with the demonstrated ability and ambition to conduct innovative and independent research at the highest international standard and teach courses in the Faculty of Information’s rigorous, highly-ranked Master of Information program, primarily in the human-centred data science (HCDS) and information systems design (ISD) concentrations.

The successful candidate must have a Ph.D. in computing science, information systems, or a related field at the time of appointment or shortly thereafter and a record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and strengthen our existing strengths. Evidence of excellence in teaching should be demonstrated by the teaching dossier, including a strong statement of teaching philosophy, excellent teaching evaluations, sample syllabi, and strong endorsements from referees. Evidence of excellence in research should be demonstrated by a record of contributions and publications in leading journals and conferences in the field or forthcoming publications meeting high international standards, the submitted research statement, awards and accolades, and strong endorsements by referees themselves of high international standing.

Salary is to be commensurate with qualifications and experience.

The Faculty of Information 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 25 award winning faculty members, our key strengths are the quality of our research, the abilities of our graduate students, close ties across the university, and a committed alumni. The Faculty of Information is especially proud of the calibre, excellence, academic engagement, and diversity of the students it recruits, admits, and graduates.
More information about the University of Toronto Faculty of Information is available at:

Applications must be submitted online at the link below. A completed application will include a cover letter, curriculum vitae, research statement, three writing samples (e.g. a conference paper or an article), and a creative and coherent teaching dossier that includes a teaching statement, teaching evaluations, and sample course syllabi and materials. Please note that paper applications will not be accepted. If you have questions about this position please contact the Dean, Wendy Duff at Applicants should also arrange for three letters of reference (signed and on letterhead) to be sent directly to the Faculty via email by the closing date. These letters should be sent to

All application materials, including reference letters, must be received by April 22, 2019.

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, LGBTQ 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

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

In your application, please refer to


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