The Group of National Schools of Economics and Statistics (GENES) is delighted to offer a doctoral scholarship for the year 2018-2019. International students are eligible to apply for this scholarship.
Created 75 years ago, the ENSAE ParisTech carries a unique educational project combining a high level of mastery in applied mathematics, statistics and economic analysis. In response to changes in the economy, ENSAE ParisTech has declined this educational project, over the decades, in different areas of application. It is today the only major engineering school specializing in economics and quantitative sociology, statistics, finance, actuarial science and data science.
Course Level: Scholarships are available to pursue PhD programme.
Eligible Countries: International students are eligible to apply.
Eligibility Criteria: To be eligible for this scholarship you must meet the following requirements:
Since the beginning of the 2015-2016 academic year, doctoral training has been organized within the Paris-Saclay University doctoral schools, of which ENSAE ParisTech is a founding member.
These doctoral schools bring together a group of research teams, which in this way offer the future doctor a high-level scientific supervision and preparation for professional integration.
CREST (Center for Research in Economics and Statistics), under the supervision of an ENSAE (or ENSAI) professor for those applying in Paris (or in Rennes) and will be enrolled in our doctoral program.
Method of Application: Mandatory documents are:
- The online application form ( http://crest.science/wp-content/uploads/2018/03/dossierallocontraldoctoral2018.pdf )
- A research project in about 10 pages
- A cover letter
- A curriculum vitae
- The official transcripts of higher education institutions from which you get a degree
- Recommendation letters from professors, including a letter from the Ph.D. supervisor.
The selection among the applicants can include an interview.
Application Link
Scholarship Link
Scholarship Application Deadline: April 30, 2018
