General information
Offer title : Post-doctoral Researcher (M/F) in Computer Vision (H/F)
Reference : UMR5505-CHLBOU-100
Number of position : 1
Workplace : TOULOUSE
Date of publication : 25 November 2025
Type of Contract : Researcher in FTC
Contract Period : 12 months
Expected date of employment : 1 January 2026
Proportion of work : Full Time
Remuneration : From 3 041,58 to 4 216,70 euros gross monthly according to experience
Desired level of education : Doctorate
Experience required : Indifferent
Section(s) CN : 06 - Information sciences: bases of information technology, calculations, algorithms, representations, uses
Missions
This position is part of the CNRS "OPEN" valorization project named DOPAMIn. It aims to transfer state-of-the-art 3D reconstruction technology (RNb-NeuS), derived from academic research, into the open-source industrial software AliceVision/Meshroom, in collaboration with the University of Zurich.
Mission
The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling the creation of high-precision digital twins.
Activities
Activity 1: Integration of Photometric Stereo in Meshroom
- Implement processing nodes for normal field and intrinsic color estimation.
- Integrate deep learning-based methods (such as SDM-UniPS or Uni-MS-PS).
Activity 2: Implementation of the RNb-NeuS Module
- Develop the neural reconstruction node using photometric data as input.
- Ensure interfacing with the AliceVision library.
Activity 3: Critical Code Optimization (C++/CUDA)
- Adapt the code to drastically reduce computation times (target: < 1h).
- Replace proprietary dependencies (InstantNGP) with a flexible base (such as SuperNormal).
Activity 4: Reliability and Robustness
- Develop mechanisms for outlier rejection.
- Document the code for the open-source community.
Skills
Knowledge:
- In-depth expertise in Computer Vision and Photogrammetry.
- Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF).
- Knowledge of Photometric Stereo methods.
Operational Skills:
- Advanced programming in C++ and Python.
- Mandatory mastery of GPU programming (CUDA) for optimization.
- Experience with Deep Learning frameworks (PyTorch).
- Knowledge of the AliceVision architecture is a major asset.
Soft Skills:
- Autonomy and scientific rigor.
- Ability to work collaboratively (mixed academic/industrial context).
- Ability to meet short development deadlines (project mode).
Work Context
Full-time work. Position based at the IRIT-ENSEEIHT campus in Toulouse.
Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros).
The position is located in a sector under the protection of scientific and technical potential (PPST), and therefore requires, in accordance with the regulations, that your arrival is authorized by the competent authority of the MESR.