Research Associate in vision-based autonomous satellite navigation
University of Luxembourg
Luxembourg, Luxembourg  
il y a 1j
source : Academic Media Group International AB

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.

We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

The successful candidate will join a young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization.

This innovative research group is lead by Prof. Miguel Olivares-Mendez. The candidate will carry out research under the framework of an industrial EU-EUROSTARS project named Vision Based Navigation system (VBN) for autonomous satellite navigation in space in collaboration with BlackSwan Technologies.

She or he will perform the following tasks :

  • Research on vison-based autonomous satellite navigation approaches focusing on the following topics : Satellite navigation and control Sensor fusion Trajectory planning Robust localization and state estimation Object detection and tracking
  • Develop real-time solutions using ROS
  • Providing support in setting up and running experiments in the ZeroG-Lab facility
  • Software and hardware integration, verification, and testing using the ZeroG-Lab facility
  • Participating in research proposal drafting and project deliverables
  • Collaborate in ongoing international and national projects
  • Disseminating results through scientific publications and conference presentations
  • Assisting in the organization of relevant workshops and demos
  • Assisting in PhD co-supervision
  • Your Profile

    Qualification : The candidate should possess a Ph.D. degree in Engineering, robotics, Computer Science, Applied Mathematics or affine.

  • Strong development skills in C++, python and ROS
  • Experience with sensor fusion, optimization and state estimation
  • Be familiar with machine learning apporaches for perception and robotics
  • Hands-on aerial robot setup and maintenance
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English
  • Experience supervising Master students and theses
  • Experience with European projects (FP7 / H2020), national projects and industrial projects. Experience with ESA projects will be an asset.
  • Language Skills : Fluent written and verbal communication skills in English are required.

    Here’s what awaits you at SnT

  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our
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