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Postdoctoral Research Fellow: Quantitative Research, AI Technologies, and Computational Analysi

Job in Toronto, Ontario, C6A, Canada
Listing for: National Institute of Ageing
Full Time position
Listed on 2026-07-07
Job specializations:
  • Research/Development
    Data Scientist, Postdoctoral Research Fellow, Research Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 65000 CAD Yearly CAD 65000.00 YEAR
Job Description & How to Apply Below
Position: Postdoctoral Research Fellow: Quantitative Research, AI Technologies, and Computational Analysi[...]
Postdoctoral Research Fellow:
Quantitative Research, AI Technologies, and Computational Analysis on Migration and Labour Market Integration in Canada   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
About Toronto Metropolitan University (formerly Ryerson University)  At the intersection of mind and action, Toronto Metropolitan University 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.
Toronto Metropolitan University 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 2

SLGBTQ+. Please note that all qualified candidates are encouraged to apply; however, applications from Canadians and permanent residents will be given priority.
About the Global Migration Institute and the BMO Newcomer Workforce Integration Lab  The Global Migration Institute, launched in April 2026 at Toronto Metropolitan University, 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 Toronto Metropolitan University. 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…
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