Public summary
Join a high-tech startup in Munich focused on integrating AI and robotics by developing humanoid robots with advanced sensing and vision capabilities. This role suits master's students passionate about robot control and machine learning, offering the chance to engage in cutting-edge research and development in humanoid robotics. Work includes developing control algorithms, simulation, experimentation with real robots, and interdisciplinary collaboration in an agile and diverse environment.
Location and work setup
- Location
- Munich
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Develop and improve control and learning algorithms for humanoid robots; work with simulation environments for training and benchmarking; support reinforcement, imitation, and model-based learning pipelines; implement locomotion, manipulation, balancing, and whole-body control behaviors; analyze robot behavior and learning performance; assist sim-to-real transfer and robotic hardware experiments; integrate learned policies with perception, planning, control, and actuation; review and reproduce robotics and machine learning research; clearly document and present technical findings.
Qualifications
Currently enrolled in a Master's program in robotics, computer science, electrical or mechanical engineering, AI, or related field; strong interest in humanoid robotics and robot learning; proficient in Python and/or C++; basic knowledge of robot kinematics, dynamics, control, motion planning; familiarity with machine learning techniques like reinforcement and imitation learning; experience with simulation tools or robotic frameworks is advantageous; ability to work independently, quickly learn, and collaborate effectively in a team setting.