CREST-Centre for Research in Economy and Statistics - CREST Doctoral Fellowships
CREST-Centre for Research in Economy and Statistics €2,368
Quick facts
Institution
CREST-Centre for Research in Economy and Statistics
Program
CREST Doctoral Fellowships
Amount
€2,368
Last verified: 2 October 2026
About this scholarship
CREST Doctoral Fellowships
You will receive a gross salary of about 2,369 EUR per month for a full three-year PhD at CREST, the Centre for Economic and Statistical Research near Paris. This is a PhD research contract, not a scholarship (a fixed grant without any work obligations). The contract involves approximately 64 teaching hours per year. You will carry out your research at CREST, supervised by an ENSAE professor in Paris or an ENSAI professor in Rennes, and will be enrolled at the doctoral school. The programme is funded by GENES, the association of French national schools of economics and statistics.
Who can apply
- Degree: You have completed a two-year Master’s degree or an equivalent qualification. You may also apply whilst in the final year of your Master’s degree, provided you go on to obtain your degree.
- Field of study: Your research must fall within one of the following four fields: economics, finance and actuarial science, statistics or sociology.
- Nationality: Anyone can apply, regardless of which country they’re from.
- Research potential: Your excellent grades demonstrate that you are capable of conducting research at doctoral level.
- Supervisor contact: It is strongly recommended that you contact a potential supervisor before applying. Students from ENSAE and ENSAI in particular are encouraged to apply.
How to apply
You must submit to CREST an application form, a research project of between 2 and 5 pages, a covering letter, your CV, your academic transcripts for the last three years, and letters of recommendation. A letter of recommendation must be written by your intended supervisor and submitted directly by them. The application deadline is 14 May. An interview may take place as part of the selection process.
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