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The successful candidate is expected to assume a leading role in defining, acquiring, managing, and scientifically contributing to projects in Robotic Manipulation for Space Robotics. The candidate
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scientifically contributing to projects in Robotic Manipulation for Space Robotics. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work
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The successful candidate is expected to take a leading role in defining, acquiring, managing, and scientifically contributing to projects around AI-enabled space-borne perception systems for robotic
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The FEderated droNe Countering system (FENCE) project is a collaboration between the University of Luxembourg - SnT and Luxembourg Tech School (LTS). It aims to propose a unique swarm-based counter-UAS approach enabling autonomous generation and continuous adaptation of protective swarm...
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experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction, or decision-making in autonomous driving or robotic