Doctoral level

SCAI regroups a total number of more than 100 PhD supervisors in AI (with research habilitation or HDR). They have successfully supervised more than 380 PhDs in the past 5 years. Overall, they work in more than 20 laboratories in which they are part of teams studying all aspects of modern AI, from statistics to social sciences.

Main research units involved in AI research at SCAI

Broadly, Sorbonne University doctoral landscape is organised in 23 Doctoral Schools gathered into a Doctoral College in charge of coordinating Sorbonne University doctoral policy.

http://ifd.sorbonne-universite.fr/fr/index.html

Main Doctoral Schools involved in AI

The doctoral school is responsible for all matters related to the doctorate. It brings together a set of research units grouped around a given scientific field. The doctoral school is responsible for recruiting, monitoring, training and defending doctoral candidates. It offers courses and scientific activities to doctoral candidates and validates each doctoral candidate's individual educational plan.
The main doctoral schools in AI can be found at the following link. Each doctoral school organizes a call for applications, typically open in spring of each year. Further details can be found on their respective websites.

SCAI doctoral program in AI

The call for doctoral projects within the Sorbonne University Alliance is launched every year at the end of January. The call for doctoral applications is generally open until March and interviews take place in May.
A detailed calendar is posted each year in the News section of the website.

View all PHD projects

French CIFRE Fellowships

The Cifre (Industrial agreement of training through research) system allows French companies, local authorities or associations to entrust a doctoral candidate with an assignment in the framework of a research collaboration with an academic research laboratory affiliated to a doctoral school. An important benefit is that the fellow works in the company as well as the laboratory, thereby gaining valuable experience in both worlds and understanding their different research aims and approaches.

https://www.sorbonne-universite.fr/en/research-and-innovation/doctorate/application-and-admission/cifre-doctorate