> Markdown version of [/jobs/ext/3903388-internship-3d-reconstruction-in-the-dark-radiance-fields-for-unlit-environments-saclay-h-f](https://www.wearedevelopers.com/jobs/ext/3903388-internship-3d-reconstruction-in-the-dark-radiance-fields-for-unlit-environments-saclay-h-f). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Internship 3D Reconstruction in the Dark: Radiance Fields for Unlit Environments-Saclay-H/F - **Company:** CEA Industrie - **Location:** Saclay, France - **Experience:** Internship - **Contract:** Internship / Graduate position - **Skills:** Computer Vision, Python (Programming Language), Machine Learning, NeRF (Neural Radiance Fields), Pytorch, Gaussian - **Published:** October 24, 2026 - **Apply:** https://www.emploi.cea.fr/offre-de-emploi/emploi-internship-3d-reconstruction-in-the-dark-radiance-fields-for-unlit-environments-saclay-h-f_42017.aspx ## About the Role * Currently enrolled in your final year of a Master's program (M2) or an Engineering School (including gap year students). * Strong skills in computer vision and machine learning, particularly. * High proficiency in Python alongside experience using a deep learning framework, with a strong preference for PyTorch., Diplôme préparé Bac+5 - Master 2 ## Description *State of the Art Review: Analyzing existing 3D reconstruction methods (NeRF, Gaussian Splatting) and their limitations in unlit environments. *Prototyping: Implementing a solution that model the light source in the inverse rendering reconstruction pipeline. *Experimentation: Testing the system in real or simulated scenarios, with different light configurations. *Optimization: Improving robustness and the reconstruction accuracy (large environment, reflective sufaces) *Validation: Comparing results with classical methods (with fixed lighting) and evaluating improvements in quality and robustness. #Cea-List Moyens / Méthodes / Logiciels python