Ihre Aufgaben

• Develop and validate methods for safety, performance, and reliability in learning-based control and decision-making algorithms on real robotic systems.
• Engage with the Robotics Institute Germany (RIG) network and collaborate with academic and industrial partners.
• Contribute to joint research activities, publications, and surveys.

Ihre Qualifikationen

• PhD degree (or near completion) in robotics, control, machine learning, or a related field.
• Strong publication record demonstrating independent and creative research.
• Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks.
• Proven expertise in robot learning, safety-critical control, probabilistic modeling, verification, or optimization.
• Excellent communication skills in English and ability to work independently and collaboratively in an interdisciplinary team.
• Prior experience with real robotic systems and deployment of learning-based controllers.

Ihre Vorteile

• Opportunity to work in a diverse and inclusive research environment.
• Full-time position (100%, TV-L E13).
• Engagement with academic and industrial partners.