Context:
We offer a 1-year research engineer position in Computer Vision or/and Robotics to envision and evaluate sensors to be integrated into a robot for robust 3D reconstruction, scene mapping and surface quality assessment. The context of this work is the nationally funded PARME project. The project aims to develop advanced robotic solutions based on the ARU robot platform (https://nimbleone.io/) for maintenance operations in complex access areas, with a particular focus on surface preparation and painting. Applications are brought in by the two major industrial players, Naval Group for vessel construction and EDF for dam maintenance. Our team will work on developing and integrating algorithms on the robot to ensure accurate 3D mapping, localization, and surface quality assessment. Other academic partners have expertise in robotics, and industrial painting, while the industrial partners develop robots and integrate painting solutions.
While addressing the computer vision aspects of the project, a rigorous evaluation of perception sensors (RGB cameras, depth cameras, etc.) and their robustness will be conducted. Together with NimbleOne, we will assess which equipment for the ARU robot is best adapted to work in harsh conditions (dust, low light). Based on the selected sensor(s), efficient algorithms will be developed for the 3D reconstruction of the environment and the surfaces to be processed.
The candidate is expected to implement solutions and publish the theoretical contributions. She or he will have the opportunity to work closely with industry partners and apply their research in real-world applications, contributing to the global scope of the project.
Duration: 1 year (extension for 6 months possible)
Responsibilities:
- Develop and implement algorithms for 3D reconstruction, localization, and object recognition.
- Integrate and test algorithms in real-world environments.
- Collaborate with project partners to ensure the reliability and robustness of the solutions.
Qualifications:
- Master’s degree in Computer Vision, Robotics, or a related field.
- Strong background in computer vision and robotics.
- Proficiency in C++ and Python.
- Experience with common deep-learning platforms is welcome
- High level of autonomy and strong technical skills.
- Excellent problem-solving and troubleshooting abilities.
- Good communication and collaboration skills.
How to Apply:
Please submit your CV, a motivation letter, and a list of publications to parme_job@listes-diff.enseeiht.fr
The position is expected to be filled as soon as January 2025. Applications will be evaluated as received until the position is filled.
