Tech Stack

Description

You will design and implement advanced guidance algorithms using model predictive control, validate them through simulations and flight tests, and integrate them with computer vision and flight control systems for the development of a swarm-based counter-drone system.

Requirements

• Background in electrical engineering, mechatronics, or a similar field.
• Knowledge in model predictive control algorithms, ideally with hands-on experience.
• Strong programming skills, particularly in Python; experience with C++ is a plus.
• Experience in developing and shipping real-world robotic applications that are powered by ROS (2).
• Experience with robotic simulators (at least one of Gazebo, MuJoCo, Isaac Gym, or Airsim) and PX4-based flight controllers is a plus.
• Ideally, basic knowledge about flight mechanics or aircraft design.
• Proactive and organized team player.
• Valid work permit (citizenship or visa) for Germany.
• Currently enrolled in a university within Germany.

Responsibilities

• Design, implement, and extend advanced guidance algorithms using model predictive control methodologies considering visual perception, flight envelope, and mission constraints.
• Systematic validation and comparison by extensive simulation studies, bench tests, and real-world flight tests.
• Maximize flight performance through tuning and optimizing flight control systems.
• Tight integration with existing computer vision algorithms and flight control systems.