Careers at EPRI

EPRI is an academic research group based at the University of Ottawa that engages in research aimed at informing policy discussions focused on education, skills, and the labour market. Using complex longitudinal administrative datasets, EPRI conducts research using a range of methods from descriptive and conventional econometric methods to more advanced modelling approaches and advanced predictive analytics, including machine learning. EPRI also has experience implementing random assignment and exploiting quasi-experimental designs.

Some of EPRI’s research interests include student persistence through to graduation and academic performance in K-12; access to post-secondary education (PSE); experiences, outcomes, and skills development in PSE; and post-schooling labour market and other outcomes.

EPRI is continually developing and employing new and innovative data platforms. These include PSE-tax linked data, institution-level PSE data, school board-level K-12 data, provincial datasets (BC PEN: follows students from K-12 to the end of PSE), and national datasets (ELMLP: PSIS/RAIS-T1FF, PIAAC-LISA).

EPRI believes its team thrives in a modern workplace that allows for flexible hours, the opportunity to work remotely, and—most importantly—a highly collaborative and team-oriented research environment. EPRI also provides opportunities for publishing.

We are always interested in hearing from enthusiastic individuals looking to get involved in labour economics and the economics of education research. Feel free to visit this page periodically to learn about career opportunities at EPRI.

Research Associate

EPRI is currently looking for a researcher with strong quantitative skills to join its team for a short-term contract (6 months) with the possibility to renew. EPRI researchers are employed by the University of Ottawa and are offered competitive salaries ($55,000-$70,000 per annum). The work would start as soon as possible.


  • Use longitudinal administrative data to conduct quantitative analysis that informs policy
  • Prepare reports and otherwise effectively communicate research findings to others
  • Participate in all aspects of a project from inception to completion
  • Manage multiple assignments and work to tight deadlines when required
  • Work independently, as well as collaborate effectively in a team environment
  • Help develop research proposals


Candidates must meet the following essential requirements. We also list additional qualifications that are not required but would be beneficial.

Essential requirements
  • A master’s degree or Ph.D. in economics, education, mathematics and statistics, data and computer science, or other relevant field (a bachelor’s degree graduate with exceptional quantitative skills and work experience could be considered)
  • Strong data-handling skills
  • Comprehensive knowledge of descriptive and statistical analytical methods
  • Experience using programming languages and statistical software such as R, Python, Stata, or SAS
  • Good oral and written communication skills
  • Possess, or able to obtain, reliability status security clearance to access RDCs

Additional qualifications
  • Experience in predictive modelling and machine learning methods
  • Experience and/or interest in labour economics and the economics of education
  • Knowledge of the Canadian education system
  • Experience in Linux system administration would be considered an additional asset

Application Process

Interested candidates should send their CV and a short cover letter (300 words maximum), along with a writing and coding sample to Michael Dubois at by April 30, 2019, end of day. Only selected candidates will be contacted.