Full-Time Pre-Doctoral Fellow - Social Science Prediction Platform


The Social Science Prediction Platform is an online platform that enables researchers to collect ex ante forecasts of what their studies will find. These forecasts can be useful in a number of applications, some of which are summarized in this Science Policy Forum piece. Profs. Stefano DellaVigna (UC Berkeley) and Eva Vivalt (University of Toronto) are seeking a pre-doctoral fellow to assist with the Social Science Prediction Platform and be an integral part of the team. This is a full-time position for a period of one year, which could be extended to a maximum of two years.

The Pre-Doctoral Fellowship offers an opportunity to gain training in a broad set of economic research topics and approaches, including data-intensive methods that will give pre-docs an unparalleled window to research in applied microeconomics. This opportunity is most suitable for recent graduates with a master’s in economics, or a bachelor’s with substantial coursework in economics and applied econometrics, who are proximately planning to pursue a Ph.D. in economics, public policy, and related fields. It will help candidates moving onto Ph.D. programs to hit the ground running for their own graduate studies. As part of this role, the pre-doc will assist faculty mentors at the University of Toronto’s Department of Economics. The role is based on-campus, sharing workspace with other fellows to foster camaraderie and peer learning.


The pre-doc will gain experience analyzing large and complex data sets, working with software like Stata and R. Primary facets of this training involve:

  • Cleaning and managing large datasets.
  • Turning complex data into informative figures and tables.
  • Liaising with researchers at other universities regarding their projects.
  • Designing and testing forecasting surveys for randomized controlled trials in a number of fields, including behavioural economics, development economics, and labour economics.

This hands-on research practice is strengthened with additional education opportunities, including attending department research seminars.

Education and Experience:

We are looking for candidates who are excited about getting started with practical research applications, have a solid quantitative background, have strong programming skills, and are considering pursuing a Ph.D. in economics or a closely related discipline. Work authorization in Canada, whether by citizenship or an open work permit, is required.

Desired Start Date:


Application Instructions:

If interested, please prepare your:

  • CV
  • Transcripts
  • Brief (one-page) cover letter describing your academic career, research interests, experience with the programming languages listed above, and future goals.

Please submit your application to info@foslab.org.

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