About this role
Job title: Thèse CIFRE - Scenario intelligence for ADAS validation F/H
About the Role In a context of rapid technological change in the automotive industry, the move toward autonomous driving and software-defined vehicles is driving major challenges such as safety, understanding driving environments, and managing large volumes of data. Renault Group, via Ampere, places AI at the heart of its strategy for ADAS and Navigation On Autopilot (NOA). This CIFRE thesis aims to design innovative methods to classify driving scenarios found in Renault’s driving data and to rigorously assess database coverage (real or synthetic) using latent representations and generative World Models. The goal is to enable safe, closed-loop validation on synthesized scenarios while minimizing data and compute costs.
By joining Renault Group's Engineering, you will join a domain with high technical, safety, and economic stakes. You are trained on data up to October 2023.