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This position uniquely bridges academic research and policy‑making within a central bank. The successful candidate will have access to confidential, high‑quality granular data, collaborate with a community of over 100 PhD economists, and work from a dedicated desk at the Bank of Canada’s Ottawa headquarters. The role also offers strong visibility for research outputs and opportunities to present at internal seminars and external conferences.
Desired post-doc profile
· Interested in systemic risks, applied econometrics, empirical work, agent-based modelling, financial stability, macroprudential policies, banking, non-bank financial institutions
· Interested in modelling and research opportunities in a central bank who can benefit from access to confidential Canadian granular data in their research
· Willing to develop their experience bringing research to the applied policy world
· Eager to learn about central banks modelling toolkit in systemic risks
What expectations?
· Spend about half of their time on completing their own research
· Spend the other half on guided modelling and applied research with Bank of Canada PhD economists aimed at an academic publication with an applied policy companion paper
· Teach at least one class (36 hours/12 weeks) at uOttawa to be determined given the candidate’s expertise.
Possible applied project at the Bank of Canada, depending on the profile of the candidate
1. Develop the modelling of non-bank financial institutions (e.g. pension funds, insurance sector…) to be integrated into the Bank’s system-wide risk simulation toolkit
Incorporating non‑bank financial institutions into a system‑wide stress‑testing framework, alongside vulnerabilities such as liquidity, firesales, redemption, and counterparty risks across banks, households, pension funds, and insurers, would improve identification of when the Canadian financial system could generate spillovers and inform policies to mitigate those risks. Although pension funds and insurers are typically viewed as financial stabilizers due to their long‑term funding and risk‑pooling roles, they can become sources of amplification depending on their interconnectedness with other financial institutions
2. Expand the scenarios simulation model to improve reverse stress-testing capabilities
Reverse stress testing identifies the shocks, macro‑financial scenarios, and contagion channels that could generate system‑wide stress severe enough to damage the real economy. Unlike traditional stress testing, which evaluates resilience to a given scenario, it focuses on the conditions that would cause failures in the financial system. Machine‑learning methods could help identify the most harmful scenarios for the financial system.
3. Integrate a network contagion modelling into the Bank’s system-wide risk simulation toolkit
Interconnections can propagate risks throughout the financial system. For instance, cross-ownership of mutual funds by banks, lines of credit to non-banks, or households' deposits across institutions are network effects we want to better understand and integrate.
4. Develop a confidence channel for contagion across economic agents and financial markets and integrate it into the Bank’s system-wide risk simulation toolkit
Perceived confidence channels can amplify contagion to the financial system, generating for instance liquidity hoarding mechanisms among various financial market participants.
5. Explore the development of an agent-based model for system-wide stress-testing leveraging AI agentic tools
The next generation of agent-based model may lend itself to the use of agentic AI to simulate contagion behaviors.
What does the financial stability department of the Bank of Canada do?
The financial stability department monitors developments in the Canadian financial system, conducting analysis and research to assess vulnerabilities and risks for the Canadian financial system and to inform macroprudential policies. The department supports the Bank’s crisis management mandate—including provision of liquidity to financial institutions facing stress—and the Bank’s role as resolution authority for domestic designated financial market infrastructures. Research in the department contributes to the deepening of the understanding of financial stability and financial system issues.
The successful candidate would interact with the Modelling and Analysis of Risks team, a departmental hub composed of PhD researchers dedicated to developing and applying modelling innovations that deepen our understanding of financial stability risks, especially systemic risks.
To apply for this position, log in and choose your Applicant role (or, if you have no account, create one).We invite applications for an 18-month postdoctoral position focusing on the economic and bioeconomic analysis of Québec fisheries under climate change. The project aims to develop an integrated analytical framework to quantify, compare, and project the economic trajectories of fisheries, drawing on stock dynamics, catches, and the evolution of fishing practices. This opportunity is financed by the Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs (Québec).
The postdoctoral researcher will work closely with an interdisciplinary research team at Université du Québec à Rimouski (UQAR), including researchers in Gestion des Ressources Maritimes (GRM) and the Institut des sciences de la mer de Rimouski (ISMER).
The selected candidate will conduct their work within a coherent and integrated research program focused on the development and application of a bioeconomic framework for analyzing fisheries under climate change. They will be expected to:
• Collaborate with GRM and ISMER research teams to collect, organize, and structure fisheries and environmental data;
• Develop an economic or bioeconomic model based on historical data (catches, biomass, prices, and costs) to assess the sensitivity of fisheries production to environmental stressors and adaptation behaviours;
• Evaluate future impacts by reference to climate change scenarios (RCP 4.5 and RCP 8.5);
• Analyze adaptation strategies (diversification, spatial and seasonal adjustments, technological innovation), and assess required investments in terms of net benefits and/or avoided costs;
• Contribute to the analysis of key determinants and mechanisms of fisheries adaptation;
• Produce original research results leading to the preparation and submission of peer-reviewed scientific articles;
• Actively contribute to the development of a strategic data infrastructure supporting economic monitoring and prospective analysis of the Québec fisheries sector, including resource and catch trends, investment and productivity dynamics, socio-economic issues (resilience and vulnerabilities), and regional economic importance.
These research activities are part of an integrated research program focused on the development and application of a bioeconomic framework for the prospective analysis of fisheries in the face of climate change.
• PhD in economics, natural resource economics, environmental economics, bioeconomics, or a related discipline;
• Strong skills in applied econometrics and/or dynamic modelling (time series, panel data, structural models);
• Experience with fisheries or environmental data (strong asset);
• Proficiency in programming and analytical tools (R, Python, Stata, or others);
• Ability to work effectively in an interdisciplinary research environment;
• Autonomy, scientific rigour, and strong written communication skills (French and/or English).
• Duration: 18 months
• Compensation: CAD 50,000 annually + benefits
• Location: Rimouski (Québec, Canada)
Interested candidates are invited to submit a complete application package to the professor listed below. The review of applications will begin on Monday, June 15th, 2026. The application package should include:
• a detailed curriculum vitae;
• a cover letter;
• one sample of academic writing;
• the contact information of two references.
To apply or to obtain additional information, please contact the professor at the coordinates provided below. The preferred start date is Fall 2026, although some flexibility is possible.
Prof. Philippe Kabore, Ph.D
Professor of Economics
Unité départementale des sciences de la gestion – campus de Rimouski
Université du Québec à Rimouski
Phone: (+1) 418-723-1986 ext. 1976
Email: philippe_kabore@uqar.ca
To apply, send a message to philippe_kabore@uqar.ca. (See posting for details.)