Robotics Engineer MF
Robotics Engineer MF
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Job Description
Who are we
With 25 campuses 8500 graduates per year and 106000 alumni CESI is a leading engineering school that promotes social mobility through excellence. By joining CESI you become part of a dynamic environment that combines teamwork diverse projects and autonomy.
Our research unit CESI LINEACT (UR 7527 is committed to innovation and regional competitiveness. We focus our efforts on applied research tailored to the needs of businesses.
Project Description and Responsibilities
As part of the REISAR (Systme Robotis Avanc pour lInspection des Rseaux dAssainissement et la Prservation de lEau) project funded by France 2030 and ANR we are recruiting 5 Robotics Research Engineers (M/F).
The aim of this project is to send semiautonomous robots into sanitation environments (sewers networks to :
- Detect anomalies (deterioration of infrastructures)
- Limit water loss and pollution of watercourses.
Video presentation : themes will be addressed:
- 1. Control and Navigation (CESI SaintNazaire Campus)
- 2. Location (CESI Toulouse and Rouen campuses)
- 3. Understanding the environment (CESI Nice and SaintNazaire campuses)
5 positions on these different themes are open with the following missions:
1. Control and Navigation in a heterogeneous land/water environment and contribute to implementation on experimental sites. (SaintNazaire Campus)
Your main tasks :
- Develop sliprobust control methods adapted to a variety of environments.
- Performance evaluation of the control method.
- Support the software integration of developed technologies via a continuous integration process.
and filtering of different localization sources up to implementation on experimental site. (Toulouse and Rouen campuses)
Your main tasks :
- Implement a functional exteroceptive localization method adapted to robotic contexts in sanitation environments based on vision LiDAR and proprioceptive data (IMU).
- Build datasets to test and evaluate algorithm performance.
- Support the technological maturity and robustness of the localization brick in particular by integrating it into a continuous integration process.
3. Understanding the environment
a) Detection and classification of objects and materials using multispectral sensors (Nice Campus)
- Comparison of methods and data for identifying materials using multi/hyperspectral sensors
- Creation of multi/hyper spectral datasets and reference images:
- Evaluation of classification methods
- Developing and integrating new learning models
b) Multispectral and geometric information fusion LiDAR (SaintNazaire Campus)
- Data acquisition and processing.
- Detect the presence of objects/obstacles and identify materials.
- Setting up and validating extrinsic LiDARcamera calibration methods.
- Sensor fusion (LiDAR and cameras).
Missions common to all 5 research engineers :
- Maintain an active technology watch in your area of expertise.
- Write technical documentation and project deliverables.
- Document processes and share feedback to promote technology transfer and replicability.
- Making data available to the scientific community.
Why join us
- A project combining innovative technology and sustainable development that gives meaning to your skills
- A national research community
- Innovative equipment at the cutting edge of technology
YOUR PROFILE
Training and experience
- Bachelor or master (in engineering school)
- Significant experience in the field for which you are applying (control localization understanding of the environment)
Global technical skills
- Langages : Python C.
- Robotic environment: Knowledge of ROS.
- Mastery of software development tools (GIT documentation CI)
- Operating system knowledge: LINUX & WINDOWS
Technical skills: control 1.
- Knowledge of robotic planning and control methods
Technical skills: localization 2.
- Solid knowledge of 3D geometry and LiDAR point cloud processing.
- Sensor calibration
- Data fusion (LiDARcamera)
Technical skills understanding the environment 3.
- Expertise in Machine/Deep Learning frameworks: Pytorch KerasTensorFlow
- Knowledge of Multi/Hyperspectral image processing methods and Computer Vision applications (image classification and semantic segmentation).
- Nvidia GPU programming skills
Behavioral skills
- Ability to work as part of a team.
- Curiosity and ingenuity.
- Good interpersonal skills and technical aptitude.
- Public speaking skills.
CESI is committed to combating all forms of discrimination so our job offers are open and accessible to all. So apply now and join the CESI adventure!
AVANTAGES
- Mutual insurance covered at 90
- Luncheon vouchers 10 euros per day 60 reimbursed
- Profitsharing and incentive bonuses / PEE and PERCO plans
- 6 weeks CP and 14 days RTT per year
- Remote work possible as soon as the trial period has been validated 2 days per week up to a maximum of 8 days per month).
Employment Type
Full-Time
