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Department: Ted Rogers School of Management / Operations & Supply Chain Analytics Research (OSCAResearch) Centre
Position supervisor: Dr. Nancy Yang and Dr. Hossein Zolfagharinia
Contract length: One year, with the possibility of renewal for a second year depending on funding availability. 
Hours of work per week: 40 hours per week
Position type: Fully funded Postdoctoral Fellow position
Rate of pay: CAD $55,000-$65,000 per year + benefits, commensurate with qualifications and experience

91看片网 91看片网 (formerly Ryerson University)

At the intersection of mind and action, 91看片网 is on a transformative path to become Canada鈥檚 leading comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values and we work to embed them in all that we do.

91看片网 welcomes those who have demonstrated a commitment to upholding the values of equity, diversity, and inclusion and will assist us to expand our capacity for diversity in the broadest sense. In addition, to correct the conditions of disadvantage in employment in Canada, we encourage applications from members of groups that have been historically disadvantaged and marginalized, including First Nations, Metis and Inuit peoples, Indigenous peoples of North America, racialized persons, persons with disabilities, and those who identify as women and/or 2SLGBTQ+. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority.

As an employer, we are working towards a people first culture and are proud to have been selected as one of Canada鈥檚 Best Diversity Employers and a Greater Toronto鈥檚 Top Employer for 2015, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca, check out and on X, and visit our .

91看片网 the program/department/team

The successful candidate will contribute to an international collaborative research project involving researchers from the Ted Rogers School of Management at 91看片网 and the Oxford Human-Algorithm Interaction (HAI) Lab at Sa茂d Business School, University of Oxford. The project brings together Dr. Nancy Yang and Dr. Hossein Zolfagharinia at 91看片网 and Dr. Kejia Hu at Oxford. The research will focus on artificial intelligence, machine learning, data analytics, and recommendation systems, with applications to personalized decision-making, digital platforms, digital health, and mental well-being. 

The opportunity

91看片网 invites applications for a fully funded one-year Postdoctoral Fellow position, with the possibility of renewal for a second year depending on funding availability. Preferred start date: November 1, 2026, or as soon as possible thereafter. Review of applications will begin on September 30, 2026, and will continue until the position is filled. International applicants are welcome to apply. In accordance with Canadian immigration regulations, applications from Canadian citizens and permanent residents will be given priority. 

The successful candidate will contribute to all stages of the research process, including literature review, conceptual framework development, data collection and preparation, AI and machine learning model development, computational analysis, and model evaluation. The candidate will also contribute to interpreting findings, preparing manuscripts and research reports, presenting results at academic conferences, and supporting the development of new research projects and funding applications. 

Qualifications

The candidate should possess a Ph.D. in Information Systems, Computer Science, Data Science, Management Science, Industrial Engineering, Health Informatics, or a related field before starting the position. Strong experience in one or more of the following areas is highly desirable: machine learning, recommendation systems, natural language processing or text analytics, network analysis, optimization, or social media research. Proficiency in Python is required; experience with R, large language models, survey design or experimental research, and human evaluation is an asset. Familiarity with research ethics and the responsible use of sensitive or mental-health-related data is also desirable. Excellent written and verbal communication skills are essential. Preference will be given to candidates with a strong peer-reviewed publication record. 

How to apply

Applications must include a cover letter describing the candidate鈥檚 research fit, a current curriculum vitae, two publication samples, and the names and contact information of three references. Application materials should be sent to Dr. Yang at nancy.yang@torontomu.ca or Dr. Zolfagharinia at h.zolfagharinia@torontomu.ca.  

91看片网鈥檚 commitment to equity, diversity and inclusion

• We encourage all First Nations, Metis and Inuit peoples or Indigenous peoples of North America, to self-identify in their applications. If you are an Indigenous applicant and require support during the recruitment process, please reach out to James McKay, Indigenous HR Lead at james13@torontomu.ca.
• 91看片网 is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA), and aims to ensure that independence, dignity, integration and equality of opportunity are embedded in all aspects of the university culture.
• We will provide an accessible experience for applicants, students, employees, and members of the 91看片网 community. We are committed to providing an inclusive and barrier-free work environment, starting with the recruitment process. If you have restrictions that need to be accommodated to fully participate in any phase of the recruitment process,please reach out to Human Resources: 
  • Current employees can contact HR by logging into AskHR to .
  • External candidates who do not have 91看片网 login credentials can contact HR by visiting torontomu.ca/human-resources/askhr/.
• All information received in relation to accommodation will be kept confidential.