PhD Autonomy Engineer Intern: RL, Planning & Controls

Booster is seeking an R&D Intern in Zurich, Switzerland. You will dive into the world of autonomous drones, developing reinforcement learning methods that allow aircraft to navigate intelligently in complex environments.

This internship emphasizes real-world impact through hands-on research and cross-disciplinary collaboration. Ideal candidates are PhD students with strong RL and control theory fundamentals. Proficiency in Python and robotics simulation tools is essential.