Jobs

Spoiler alert: We’re always looking for talented candidates :thought_balloon:, feel free to contact Raoul de Charette beyond the scope of the opened positions. We strongly encourage women :woman: :muscle: to apply too.


Multiple internships (6 months)

Deadline: applications processed as they come
Starting date: Early/Mid 2024

We’re looking for roughly 4 interns highly motivated, with experience in computer vision / machine learning (can be student projects).

These internships are already opened (other will be advertised soon):

  • Gaussian Splatting for Urban scenes, Valeo.ai/Inria (Internship details)
  • Realistic Extreme Conditions Augmentations with Gaussian Splatting, Inria/Valeo.ai (Internship details)
  • Other topics can be investigated such as: language-driven models, diffusion, physics-driven learning, etc.

To apply, please follow internship pdf details (if provided). If not provided, send a mail to Raoul de Charette () with resume, 2 referrees, and few lines to detail your interest.


PhD on “Conditioned 3D scene generation”

Deadline: applications processed as they come
Starting date: Spring 2023 or earlier

In this Valeo.ai/Inria PhD thesis, we wish to investigate how to condition the generation of 3D data, like textured meshes or point clouds, in an editable manner, for autonomous driving applications.
More job details.


Multiple internships (6 months)

Deadline: applications processed as they come
Starting date: Early/Mid 2023

We’re looking for several interns, with good experience in computer vision / machine learning. Several topics can be investigated such as: language-driven domain adaptation, physics-driven learning, NeRFs for geometry, etc.
To apply, send a mail to Raoul de Charette () with resume, 1 or 2 referree names, and few lines to detail your interest.
2023-04-25 update: We’ve filled some positions, but new ones may open for talented candidates.



What and Where ?

We’re located in the very center of Paris (France), exactly here, close to various metros / buses / trains / bikes and within walking distance to most parisian spots. Our group is multicultural. We work in a friendly atmosphere, with regular group readings, seminars, etc.