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Department: BMO Newcomer Workforce Integration Lab, Global Migration Institute
Position supervisor: Dr. Anna Triandafyllidou and Dr. Marshia Akbar
Contract length: 2 years
Hours of work per week: 36.25 hours/week, in person
Position type: Postdoctoral Fellow
Rate of pay: $65,000/year + Benefits

¹û½´ÊÓƵ ¹û½´ÊÓƵ (formerly Ryerson University)

At the intersection of mind and action, ¹û½´ÊÓƵ is on a transformative path to become Canada’s 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.

¹û½´ÊÓƵ 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’s Best Diversity Employers and a Greater Toronto’s 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 .

¹û½´ÊÓƵ the Global Migration Institute and the BMO Newcomer Workforce Integration Lab

The Global Migration Institute, launched in April 2026 at ¹û½´ÊÓƵ, is an international research hub dedicated to advancing research, policy engagement, and public dialogue on migration and integration. The Institute focuses on migration experiences, policies and practices, labour migration, technology and AI, narratives and public discourse, and migrant inclusion across diverse global contexts.

The BMO Newcomer Workforce Integration Lab is an initiative housed within the Global Migration Institute at ¹û½´ÊÓƵ. The Lab brings together researchers, employers, community organizations, policy-makers, and newcomers to conduct action-oriented research and knowledge mobilization on labour market integration in Canada.

The Lab focuses on issues related to labour migration, immigrant employment integration, international students and temporary residents, skills recognition, workplace inclusion, employer practices, and the role of advanced digital technologies and AI in hiring and workforce integration. Through collaborative and interdisciplinary research, the Lab aims to bridge research and practice and support the development of equitable and evidence-based workforce integration strategies.

The opportunity

The Postdoctoral Fellow will contribute to the BMO Lab's research on migration and labour market integration in Canada, with a focus on two areas. First, the Fellow will conduct quantitative research using large-scale datasets — including the Census, the Longitudinal Immigration Database (IMDB), and the Labour Force Survey — to examine the employment outcomes and labour market integration of immigrants in Canada. Second, the Fellow will explore the role of artificial intelligence and digital technologies in migration and labour market integration, with particular attention to digital recruitment systems, algorithmic hiring, and the use of advanced digital technologies by migrants, job seekers, employers, and institutions. We welcome applications from candidates with strong technical expertise in quantitative methods, computational social science, or data science, as well as those with knowledge of AI applications in migration or labour market research.

The successful candidate will work under the supervision of Anna Triandafyllidou and Marshia Akbar, and will collaborate with researchers, graduate students, research assistants, employers, policy-makers, and community stakeholders associated with the BMO Lab.

Responsibilities may include, but are not limited to:

• Conducting advanced quantitative research related to migration and labour market integration in Canada. 
• Assisting with survey design and managing, cleaning, integrating, and analyzing large-scale quantitative datasets.
• Conducting statistical analysis using software such as R, Python, Stata, SPSS, SQL, or related tools.
• Examining AI-driven recruitment systems, algorithmic decision-making, and digital hiring technologies used by employers. 
• Conducting research on migrants’ and job seekers’ use of AI tools, online platforms, and digital technologies for employment and migration purposes. 
• Supporting dashboard development, data visualization, and interactive analytical tools. 
• Drafting technical reports, academic papers, policy briefs, presentations, and knowledge mobilization materials. 
• Supporting research data governance, and data management processes.
• Coordinating stakeholder engagement activities, workshops, and collaborative research meetings. 
• Assisting with grant development and interdisciplinary research initiatives.
• Contributing to public-facing dissemination activities related to the Lab’s research. 

The Fellow will also have opportunities for professional development, mentorship, publication development, conference participation, policy engagement, and collaborative research activities through the broader programs of the Global Migration Institute.

Qualifications

Applicants must hold a PhD in any of the following disciplines: Statistics, Computational Social Science, Information Studies, Economics, Geography, Sociology, or a related discipline with strong expertise in quantitative methods.

The successful candidate should demonstrate:

• Strong expertise in quantitative research methods and experience working with large-scale datasets.
• Advanced statistical analysis and data modeling skills, with proficiency in statistical software and programming languages such as Stata, SPSS, Python, or R.
• Knowledge of AI technologies, algorithmic systems, and digital hiring platforms in the context of migration or labour market research.
• Experience with data visualization and dashboard development.
• Strong academic writing skills and a record of, or clear potential for, peer-reviewed publication.
• Ability to work collaboratively within interdisciplinary and multi-stakeholder research teams.
• Excellent organizational, communication, and project coordination skills, with the ability to manage multiple tasks and deadlines in a dynamic research environment.

The following are considered assets:

• Experience with knowledge mobilization and stakeholder engagement.
• Research grant writing experience.
• International research experience. 
• Fluency in languages other than English.

How to apply

Candidates are invited to submit a complete application package by July 10 to this . If you experience any difficulties with the online form, please contact global.migration@torontomu.ca. The application includes the following:

• A brief CV (2–4 pages).
• A motivation letter (maximum 2 pages) outlining the candidate’s research experience, skills, and fit for the position.
• One writing sample (journal article, report, dissertation chapter, or policy brief)
• A list of two potential referees. 

¹û½´ÊÓƵ’s 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.
• ¹û½´ÊÓƵ 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 ¹û½´ÊÓƵ 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 ¹û½´ÊÓƵ login credentials can contact HR by visiting torontomu.ca/human-resources/askhr/.
• All information received in relation to accommodation will be kept confidential.