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

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

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.

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 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.

• 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…