Students, following the completion of 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 MathSTIC 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) – 2021 call for applications here,
- – Doctoral scholarships from Labex ECODEC – 2021 call for applications here,
- – 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.
Contacts
Thibaud Vergé (Scientific Coordinator, ENSAE Paris)
Alessandro Riboni (Scientific Coordinator, Ecole Polytechnique)
Fanda Traoré (Administrative Coordinator)
E-mail Address: fanda.traore@ensae.fr
Website URL: Program Website IP Paris; Program Website ENSAI
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.
Contacts
Thibaud Vergé (Scientific Coordinator, ENSAE Paris)
Alessandro Riboni (Scientific Coordinator, Ecole Polytechnique)
Fanda Traoré (Administrative Coordinator)
E-mail Address: fanda.traore@ensae.fr
Website URL: Program Website IP Paris; Program Website ENSAI
Fundamental Limits of Deep Neural Network Learning – Helmut Bölcskei, ETH Zurich
Contacts
Thibaud Vergé (Scientific Coordinator, ENSAE Paris)
Alessandro Riboni (Scientific Coordinator, Ecole Polytechnique)
Fanda Traoré (Administrative Coordinator)
E-mail Address: fanda.traore@ensae.fr
Website URL: Program Website IP Paris; Program Website ENSAI