Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.
Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.
Implanté au cœur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.
Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :
2026-41959
Based in Saclay (Essonne), the LIST is one of the two institutes of CEA Tech, the Technological Research Division of the CEA. Dedicated to intelligent digital systems, its mission is to carry out technological developments of excellence on behalf of industrial partners, in order to create value.
Within the LIST, the Laboratory of Vision and Learning for Scene Analysis (LVA) conducts its research in the field of computer vision and artificial intelligence for the perception of intelligent and autonomous systems. The laboratory's research themes include visual recognition, behavior and activity analysis, large-scale automatic annotation, and perception and decision models.
Mathématiques, information scientifique, logiciel
Stage
Stage 4D Gaussian splatting for autonomous driving-Saclay- H/F
4D Gaussian splatting for autonomous driving
6 mois
As an intern at the CEA, you will have the opportunity to work in a world-renowned research environment. Our teams consist of passionate and dedicated experts, providing an environment conducive to learning and collaboration. You will have access to state-of-the-art equipment and top-tier research resources to carry out your assignments. The work performed may potentially lead to a scientific publication.
Please read the attached file for proper formatting and illustration.
Autonomous driving requires long term understanding of the 3D driving environment in order to correctly perceive both its coarse general structure (HD map, road topology) and its fine constituting elements (vehicles, pedestriand, traffic signs ...) .
In this internship, we propose to generate gaussians from multimodal inputs (camera, LIDAR, RADAR) . These gaussians will then be used as an input that contains both global and fine-grained context necessary for 3D perception in the scene. The candidate will then adapt 3D perception algorithms to this input modality in order to achieve SOTA performance on perception tasks such as 3D detection and HD map estimation.
What do we expect from you?
To achieve these objectives, the intern will be expected to:
References:
[1] LU, Yiren, YE, Xin, YAMAN, Burhaneddin, et al. Reconstruction Matters: Learning Geometry-Aligned BEV Representation through 3D Gaussian Splatting. arXiv preprint arXiv:2603.19193, 2026.
[2] CHABOT, Florian, GRANGER, Nicolas, et LAPOUGE, Guillaume. Gaussianbev: 3d gaussian representation meets perception models for bev segmentation. In : 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. p. 2250-2259.
[3] KERBL, Bernhard, KOPANAS, Georgios, LEIMKÜHLER, Thomas, et al. 3d gaussian splatting for real-time radiance field rendering. ACM Trans. Graph., 2023, vol. 42, no 4, p. 139:1-139:14.
#Cea List
PYTHON, Pytorch, CUDA, proprietary software
Students in their 4th or 5th year of studies (M1, M2 or gap year)
Computer vision skills
Machine learning skills (deep learning, perception models, generative AI…)
Python proficiency in a deep learning framework (especially PyTorch or TensorFlow)
Strong interest for 3D
Saclay
France, Ile-de-France, Essonne (91)
Saclay
Bac+5 - Diplôme École d'ingénieurs
Master 2 ou équivalent
01/01/2027
The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future.
The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research.
The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union).
The CEA had a budget of 4,3 billion euros.
The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.
