PhD in Reactive World Models for Autonomous Driving
École Polytechnique and Stellantis are advertising a
3-year CIFRE Industrial PhD
in
Reactive World Models for Autonomous Driving
, based in
Paris, France
. The project sits at the intersection of
streaming video generation
,
world models
,
autonomous driving simulation
, and
computer vision
, with a strong focus on building controllable, photorealistic long-horizon video models that can respond to driving actions in real time.
The PhD is jointly hosted by
Stellantis
(with Hai Li) and the
VISTA team at École Polytechnique
. The role is described as a
CIFRE PhD
, meaning the student will be employed by Stellantis while carrying out research in collaboration with the university. The post highlights access to a
large-scale internal GPU cluster
,
real-world driving data
, and
industrial simulation pipelines
.
Research areas and keywords:
autonomous driving, world models, video generation, deep generative models, simulation, computer vision, robotics, applied mathematics, and AI. The work is especially relevant for candidates interested in learning-based perception and prediction, generative modeling for dynamic environments, and control-aware video synthesis.
Eligibility highlights:
the ideal candidate has a Master's degree in
CS, CV, AI, applied math, or robotics
, with a strong background in
computer vision
and
deep generative models
. Prior experience with generative models, video generation, world models, or simulation is considered a plus. Applicants should also know
Python
and
PyTorch
, and be fluent in
English
.
Application window:
the post states a
September 2026
start date, but no deadline is given in the post. Interested candidates should consult the official job description for the full application instructions.
How to apply:
open the official job description linked in the post, review the detailed requirements, and follow the application instructions there. The direct application link shared is included below.
