Postdoc: Sensor Data Fusion: An exciting opportunity is available for a Postdoc in the field of vision and mobile robotics at LAAS-CNRS, Toulouse. The position involves a 30-month collaborative project with industrial robotic partners focusing on the prediction of possible collisions on a mobile manipulator using on-board sensor data fusion. The successful candidate will contribute to the development of a multi-sensor system embedded on construction or agricultural machinery to detect accident-prone situations.
Postdoc M/F: Prediction of Possible Collisions on a Mobile Manipulator using On-board Sensor Data Fusion
Table:
| Attribute | Details |
|---|---|
| Offer Title | Postdoc M/F: Prediction of Possible Collisions… |
| Reference | UPR8001-FRELER-008 |
| Number of Positions | 1 |
| Workplace | Toulouse |
| Date of Publication | 25 January 2024 |
| Type of Contract | FTC Scientist |
| Contract Period | 30 months |
| Expected Date of Employment | 4 March 2024 |
| Proportion of Work | Full time |
| Remuneration | Between €2,900 and €3,330 gross per month |
| Desired Level of Education | Niveau 8 – (Doctorat) |
| Experience Required | Indifferent |
Designation: Postdoc in Vision and Mobile Robotics
Research Area: Information sciences: bases of information technology, calculations, algorithms, representations, uses
Location: Toulouse, LAAS-CNRS
Eligibility/Qualification:
- PhD in vision and mobile robotics.
- Theoretical knowledge of machine learning and robotics.
- Notions of kinematic models for mobile robots and/or manipulators.
- Proficiency in C/C++/Python for algorithm development.
- Experience with vision and machine learning tools: OpenCV, CNN architectures, and libraries.
- Expertise in sensor data-fusion.
- Autonomy and teamwork skills.
- Excellent writing skills in English.
Job Description: The Postdoc will be involved in a 30-month collaborative project, starting with two bibliographical studies on sensor data fusion for detection and tracking of agents/targets in an outdoor mobile-manipulator robot context. Subsequently, the candidate will implement functionalities for target detection and tracking using machine learning techniques and sensor data fusion. This includes developing spatiotemporal analysis for real-time collision detection between the mobile manipulator and detected mobile agents.
Validation of algorithms will involve proof of concept in the laboratory and transfer for evaluation on construction machinery at the construction site. The Postdoc will contribute to conference papers in Robotics and/or Computer Vision communities.
Activities:
- State of the art and contributions to vision and mobile robotics.
- Algorithm development in C/C++/Python.
- Technical project management.
- Documentation, organization, testing, and formal presentations.
Skills:
- PhD in vision and mobile robotics.
- Knowledge of machine learning and robotics.
- Kinematic models for mobile robots and/or manipulators.
- Vision and machine learning tools: OpenCV, CNN architectures, and libraries.
- Sensor data-fusion.
- Autonomy and teamwork.
- Excellent writing skills in English.
Work Context: The position is part of an R&D project with a consortium coordinated by ACTIA Automotive. The work will be carried out in collaboration with the RAP team of the LAAS-CNRS, experts in Robotics and Computer Vision. The Postdoc will participate in project meetings, document drafting, and real-life evaluations on targeted site machines.
How to Apply: Interested candidates should submit their applications online before the application deadline of 15 February 2024. Ensure that your candidate profile is correct before applying.
Last Date for Apply: 15 February 2024
Disclaimer: This job post is sourced from a reliable platform. For accurate and detailed information, please refer to the official LAAS-CNRS website.
