CEA AI Rising Talents Grant

Overview

Are you interested in conducting your own research program? Do you want to develop useful technologies and provide concrete solutions to the major technological challenges facing our society? Win your AI Rising Talents grant and bring your ideas to life!

The CEA AI Rising Talents program offers you a tremendous opportunity to bring your ideas to life and lead your own research project for the benefit of industry and society. This program is part of the PEPR IA (Priority Research Program in Artificial Intelligence) and complements the call for chairs of attractiveness of the national priority research program in AI (PEPR IA) by targeting the technological and strategic challenges of the CEA’s List Institute (CEA-List).

As part of the PEPR IA program, your research project will be conducted over three to four years within a CEA host team. It will receive funding commensurate with its ambition. You will also have privileged access to the research infrastructure available at CEA-List.

The research grant aims to strengthen the potential and visibility of researchers who already have a remarkable research background after completing a thesis in France or abroad and who have significant international experience, particularly in supervising students and leading scientific projects.

The themes of project proposals must fall within the priorities defined by the PEPR IA. Thus, the project must focus on consolidating the foundations of machine learning with the integration of the following issues:

Frugality of AI
Embedded AI
Decentralized AI
Trust in AI

Applications for the CEA AI Rising Talents program can be submitted from October 1, 2025, until March 31, 2026.

Pre-selection will take place in mid-April 2026, and auditions will begin between late April and early June 2026.

Link to the call on the CEA website : CEA AI Rising Talents Grant

Contact : ai-rising-talents-contact@cea.fr

Autres projets

NNawaQ

NNawaQ, Neural Network Adequate Hardware Architecture for Quantization (HOLIGRAIL project)

Package Python Keops

Package Python Keops for (very) high-dimensional tensor calculations (PDE-AI project)

MPTorch

MPTorch, a PyTorch-based framework for simulating and emulating custom precision DNN training (HOLIGRAIL project)

CaBRNeT

CaBRNeT, a library for developing and evaluating Case-Based Reasoning Models (SAIF project)

SNN Software

SNN Software, Open Source Tools for SNN Design (EMERGENCES project)

SDOT

SDOT, A C++ and Python library for Semi-Discrete Optimal Transport (PDE-AI project)

FloPoCo

FloPoCo (Floating-Point Cores), a generator of arithmetic cores and its applications to IA accelerators (HOLIGRAIL project)

Lazylinop

Lazylinop (Lazy Linear Operator), a high-level linear operator based on an arbitrary underlying implementation, (SHARP project)

CAISAR

CAISAR, a platform for characterizing artificial intelligence safety and robustness

P16

P16 or to develop, distribute and maintain a set of sovereign libraries for AI

AIDGE

AIDGE, the DEEPGREEN project's open embedded development platform

Jean-Zay

Jean Zay or the national infrastructure for the AI research community

Call of chairs Choose France – CNRS AI Rising Talents (closed call)

Call of chairs Choose France - CNRS AI Rising Talents (closed call)

ADAPTING

Adaptive architectures for embedded artificial intelligence

Call of chairs Attractivité

PEPR AI Chairs program offers exceptionally talented AI researchers the opportunity to establish and lead a research program and team for a duration of 4 years in France.