Research Associate in Machine Learning for pose-estimation and autonomous navigation of aerial robots in urban environments

University of Luxembourg

Luxembourg, Luxembourg

il y a 3j

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 the 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 led by Prof. Miguel Olivares-Mendez. The candidate will carry out research under the framework of the 5G-SKY project.

She or he will p erform the following tasks :

Research on Machine Learning for pose-estimation and autonomous navigation of aerial robots in urban environments focusing on some of the following topics : Machine learning for robotics Perception for robotics Sensor fusion Robust localization and state estimation SLAM Object detection, recognition and tracking

Develop real-time solutions using ROS

Setup and upgrade aerial robotics systems based on the requirements of the project

Establish a strong connection with the civil aviation national authority

Providing support in setting up and running experiments in the SnT Aerial Robotics Lab (AeRoLab) and outdoors environments

Cooperate with other projects and colleagues at SpaceR to extend the used of the developed approaches to planetary and orbital robotics

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

Your Profile

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

With a proven record of accomplishment in the development and testing of autonomous navigation of aerial robots.

Strong development skills in C++, python and ROS

Experience with sensor fusion, optimization and state estimation

Be familiar with Machine Learning approaches for perception and robotics

Hands-on aerial robot setup and maintenance

Commitment, team working and a critical mind

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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