As a Control Engineer student, you will be part of a team developing and deploying cutting-edge control algorithms, mathematical models, and state estimation techniques for Autonomous Vehicle Control. The position is designed to offer hands-on experience in solving complex problems and optimizing solutions for real-world autonomous driving applications. Responsibilities: Development and Deployment:
* Assist in the design and implementation of state-of-the-art control algorithms for autonomous driving.
* Contribute to the development of mathematical models to simulate and assess vehicle performance in real-world scenarios.
* Support the creation and refinement of state estimation algorithms using inertial sensors.
* Engage in the optimization of solutions to complex autonomous driving challenges. Collaboration and Learning:
* Work closely with senior engineers across multiple disciplines, including perception, system integration, and machine learning, to ensure the seamless integration of algorithms.
* Participate in system-level testing and experiments to validate algorithm performance.
Requirements: * 4th year student for BSc or MSc in Electrical, Mechanical, Aeronautical Engineering, or a related field with a focus on control theory.
* Availability of 2 full working days per week and during summer / holiday vacations.
* Basic knowledge of motion planning, control algorithms, and dynamic systems.
* Familiarity with programming languages such as C++, Python.
* When applying, please send your grade sheet.
This position is open to all candidates.
