Students, following the completion of their master studies (or equivalent), can pursue at CREST a doctoral degree in economics, finance, sociology or statistics at the Doctoral School of Institut Polytechnique de Paris and in applied mathematics, computer science, economics and statistics as part of the doctoral program of ENSAI.

Doctoral studies are one of the fundamental and strategic missions of CREST. Attracting, hosting and training a considerable pool of excellent and motivated doctoral candidates from top French and foreign institutions contributes greatly to spreading our scientific culture and expertise.

A doctoral program essentially consists in a preparation of a research thesis, under the supervision of a research supervisor. In addition, doctoral candidates are required to take a limited number of specialized courses as well as to participate in research seminars and regular activities of CREST.

The standard timeframe for a doctorate is 3 years, but extensions may be granted.

Potential candidates are required to hold a two-year Master’s Degree (French M1-M2 or international equivalent). Admission of candidates who are currently in their second year of master is conditional upon obtaining their degree. Candidates are encouraged to contact faculty members prior to applying in order to select potential advisors. 

During their doctoral studies, students are affiliated to CREST. At the Palaiseau campus of IP Paris, students in economics and sociology register at the IP Paris Doctoral School; students in finance and statistics register at the Hadamard Doctoral School of Mathematics. At the Bruz campus of ENSAI, students register at the EDGE Doctoral School and Matisse Doctoral School.

Acceptance in the doctoral program is conditional upon securing funding. There exist several funding opportunities for French and foreign students:

  • – Doctoral scholarships from GENES (ENSAE/ENSAI) – 2023 call for applications;
  • CIFRE contracts funded through a private or public company (successful applicants spend time, usually about two days a week, at the company) – contact potential CREST PhD advisor for more information.


Jean-David Fermanian (Scientific Coordinator, ENSAE Paris)

Alessandro Riboni (Scientific Coordinator, Ecole Polytechnique)

Fanda Traoré (Administrative Coordinator)

Website: IP Paris Program Website; ENSAI Program Website

The Institut Polytechnique de Paris offers a highly selective integrated five-year PhD program to high-potential students aiming for an international career in leading academic institutions or companies.

Based on the Anglo-Saxon model, the PhD track program enables selected students to benefit from the first-class ecosystem of the Institut Polytechnique de Paris and to be closely associated with the research activities carried out in the Institute’s labs from the first year of the Master’s program. Each student benefits from individual and personalized supervision by a faculty member and will interact directly with the scientific community of the Institut Polytechnique de Paris, within a world-renowned innovation cluster.

The first two years of the program, leading to the Master’s degree, are designed to enable students to acquire the tools necessary for the successful completion of an ambitious research project, supervised by an academic tutor.

The following three years are entirely dedicated to the student’s research project and lead to the PhD degree from the Institut Polytechnique de Paris. Each student who follows this program benefits from the unique and individualized supervision of a faculty member recognized in his or her discipline. The best candidates are eligible for excellence scholarships.

At CREST students can apply for the PhD track to pursue studies and research in economics or finance.See dedicated webpage for details on the coursework, admissions and fees.


Thibaud Vergé (Scientific Coordinator, ENSAE Paris)

Alessandro Riboni (Scientific Coordinator, Ecole Polytechnique)

Fanda Traoré (Administrative Coordinator)

Website: IP Paris Program Website; ENSAI Program Website

2023 – 2024

  • November 2023

Natural language processing from pre-neural to transformers – Julien Boelaert, Université de Lille 

  • December 2023

Evolutionary Game Theory – Jörgen Weibull, Stockholm School of Economics

  • January 2024

Discrimination, and Fairness – Arthur Charpentier, Université du Québec à Montréal

  • March 2024

Dynamic Factor Models – Matteo Barigozzi, Université de Bologne 

An Introduction to Conformal Prediction and Distribution-Free Inference – Rina Foygel Barber, Université de Chicago

  • May 2024

Estimation of Functionals of High-Dimensional Parameters: Bias Reduction and Concentration– Vladimir Koltchinskii, Georgia Institute of Technology

  • June 2024

Introduction to Topological Data Analysis – Bertrand Michel, Ecole Centrale de Nantes

2022 – 2023

  • November 2022

Advanced Methods in Computational Economics – Simon Scheidegger, HEC Lausanne

Statistics of Differential Privacy – Lukas Steinberger, University of Vienna

  • March 2023

Foundations of Market Design – Rakesh Vohra, University of Pennsylvania

  • April 2023

Prophet Inequalities – José Correa, Universitad de Chile