[robotics-worldwide] [jobs] Research engineer: environment perception and robot localisation for planetary rovers

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[robotics-worldwide] [jobs] Research engineer: environment perception and robot localisation for planetary rovers

Simon Lacroix

Research engineer: environment perception and robot localisation for planetary rovers, LAAS/CNRS (Toulouse, France)

The InFuse H2020 project ( https://urldefense.proofpoint.com/v2/url?u=https-3A__www.h2020-2DInFuse.eu_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=X-4GSaydYukdg61Rd_3rAbqMnm05RYf3uqxufDJr-3k&s=fR15NUUzRutuI6NWlqLIBQZSjYbT4L5t2jLcsdnLGIE&e= ) aims at developing a comprehensive data fusion toolset for robot sensors that will serve in the context of space robotics applications.

Within this project, the role of LAAS-CNRS is to integrate and validate data fusion algorithms to model the environment of a space rovers and to ensure their localisation. This implies:

- Defining different localisation modules exploiting the sensor data available (wheel odometry, IMU, vision and LiDAR)
- Building different types of environment models representing the robot's surrounding (digital terrain maps, navigation maps, localisation maps)
- Creating and maintaining a database of the relevant information produced by each process (history of poses, built environment models)
- Integrating the different algorithm on-board two illustrative rovers
- Testing and validating the algorithms on planetary analogue terrains

Job description

The architecture of the project is well-defined, and the implementation and integration stages have begun. The candidate will be integrated within the team that achieves the integration and validation stages. He will in particular participate in the following tasks:

- Implement and integrate existing localisation algorithms and environment model building processes inside the InFuse framework.
- Propose and develop adapted solutions for localisation algorithms of the literature
- Participate in the testing  and validation. Two sessions of field testing are planned: one in the french space agency Mars analogue terrain (CNES, Toulouse), and one in some of the EuroPlanet planetary analogue terrains in Morocco.

The job is a fixed term 12 month position, monthly salary is 2000 € net

Desired profile

- Master or PhD in Robotics (preferred) or Computer Science
- Experience in using and/or developing mobile robot localisation and mapping algorithms would
- Confirmed proficiency in C/C++
- Working knowledge of Python
- Knowledge of ROS would be a plus
- Fluent english

How to apply

Send to [hidden email] a resume that provides detailed information about your education, your scientific and engineering background and interests, your motivations for the proposed position, and at least two references

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