Informations générales
Entité de rattachement
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 :
• La conscience des responsabilités
• La coopération
• La curiosité
Référence
2025-37890
Description de l'unité
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 for Modeling and Localization (LVML) 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 3D localization, segmentation, characterization and vision for robotics.
Description du poste
Domaine
Sciences pour l'ingénieur
Contrat
Stage
Intitulé de l'offre
Accurate 3D scene reconstruction from images with neural Method H/F
Sujet de stage
Stage
3D reconstruction of an environment or object using multiple 2D images observed at different viewpoints is a well-studied research topic with multiple applications in robotics, medicine, AR/VR, and automotive. Recent work using AI techniques so-called Neural Fields have revolutionized the field of rendering based images. While generating highly realistic visualization of 3D environments, Neural Fields also recovers dense 3D surfaces leading to high-fidelity 3D reconstruction.
However, those techniques have limitations in terms of robustness and accuracy when it comes to large environments and specular objects such as metallic surfaces in an industrial environment.
Durée du contrat (en mois)
6
Description de l'offre
Missions:
During this internship, you will explore the state of the art techniques for 3D scene reconstruction from 2D image using Neural Fields. With a focus on the accuracy of reconstructed geometry, you will design and develop a method of 3D surface reconstruction, which will be applied to industrial environment.
The internship will notably include:
- Reviewing existing literature on the topic
- Selecting and implementing an existing approaches in the Neural Fields framework NeRFStudio
- Benchmarking the new method using images capturing an industrial environment
Job-related benefits
Joining the CEA List and the LVML as an intern means:
- Working in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrow
- Discovering a rich ecosystem: privileged connections between the industrial and academic sectors
- Conducting research autonomously and creatively: encouragement to publish results (scientific articles, patents, open-source codes...)
- Join a young and dynamic team
- Benefit from an internal computing infrastructure with more than 300 state-of-the-art GPUs
- Receive a stipend between €1300 and €1400 per month
- Have the opportunity to continue with a PhD or as a research engineer after the internship
- Receive a 75% reimbursement on public transportation costs, and benefit from the “mobili-jeune” aid to reduce rent costs…
#CEA-List
Profil du candidat
Qualifications:
- Students in their 5th year of studies ( Master 2) or gap year
- Computer vision skills (3D vision, image processing)
- Python proficiency in a deep learning framework (preferably PyTorch
Localisation du poste
Site
Saclay
Localisation du poste
France, Ile-de-France, Essonne (91)
Ville
Saclay
Critères candidat
Diplôme préparé
Bac+5 - Master 2
Demandeur
Disponibilité du poste
02/02/2026
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