Publisher
source

York University

Postdoc in Financial Inclusion, Household Decision-Making Under Risk, and Inclusive Insurance at York University York University in Canada

Degree Level

Postdoc

Field of study

Python Programming

Funding

Full-time postdoc, in person at York University. Salary is CAD $57,000–70,000 per year. Appointment is for 1 year and renewable for a second year.

Deadline

Nov 15, 2026

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Country

Canada

University

York University

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Keywords

Python Programming
Salud Pública
Pilot Study
Economics
Field Experimentation
Statistics
Financial Inclusion
Econometrics

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About this position

Postdoctoral position at York University in Toronto, Canada, in the Department of Economics with Prof. Ida Ferrara and the RISC Foundation.

The project focuses on financial inclusion, household decision-making under risk, and inclusive insurance in developing economies. The work includes household surveys and pilot studies with partners in Ethiopia, Morocco, and Indonesia, along with econometric analysis and preparation of peer-reviewed publications.

Applicants should have a PhD in economics or a related field completed before the start date. Strong skills in econometrics, household or micro-level data, and Stata, R, or Python are expected. A strong research record is required, and experience with survey design and field experiments is an asset.

The position is full-time, in person, and offers CAD $57,000–70,000 per year. The appointment is for 1 year with the possibility of renewal for a second year.

To apply, email [email protected] with a cover letter, CV, one paper, and three referees. Full consideration is given to applications received by 15 Nov 2026.

Funding details

Full-time postdoc, in person at York University. Salary is CAD $57,000–70,000 per year. Appointment is for 1 year and renewable for a second year.

What's required

PhD in economics or a related field must be completed before the start date. Applicants should have econometrics skills, experience with household or micro-level data, and proficiency in Stata, R, or Python. A strong research record is required; experience with survey design and field experiments is an asset.

How to apply

Send a cover letter, CV, one paper, and contact details for 3 referees to [email protected]. Full consideration is given by 15 Nov 2026.

More information can be found here

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