Working Student, Control and Learning for Humanoid Robots (m/f/d)

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential robotics organization based in Munich, Bavaria. We are seeking a motivated working student to contribute to cutting-edge research and development in control and learning for humanoid robots.

This is an excellent opportunity for students interested in the intersection of robot learning, control, simulation, and real-world robotic systems. Depending on your background and interests, you will work on developing and evaluating learning-based control policies, improving simulation and training pipelines, analyzing robot behavior, or supporting the transfer of algorithms from simulation to physical platforms.

This role suits students who are curious, technically strong, and comfortable working on open-ended robotics problems where requirements may evolve.

Responsibilities

• Developing, testing, and improving control and learning algorithms for humanoid robots
• Working with simulation environments for training, evaluation, and benchmarking
• Supporting reinforcement learning, imitation learning, or model-based learning pipelines
• Implementing and evaluating locomotion, manipulation, balancing, or whole-body control behaviors
• Analyzing robot behavior, failure cases, and learning performance
• Supporting sim-to-real transfer and experiments on robotic hardware
• Integrating learned policies with perception, planning, control, and actuation components
• Reviewing and reproducing relevant research from robotics, control, and machine learning
• Documenting results clearly and presenting technical findings to the team

What We're Looking For

• Currently enrolled in a Master's degree in robotics, computer science, electrical engineering, mechanical engineering, artificial intelligence, or a related field
• Strong interest in humanoid robotics, robot learning, control, or embodied AI
• Good programming skills in Python and/or C++
• Basic understanding of robot kinematics, dynamics, control, or motion planning
• Familiarity with machine learning, reinforcement learning, imitation learning, or optimization
• Experience with simulation tools or robotics frameworks is beneficial
• Ability to work independently and learn quickly in an open-ended technical environment
• Good communication skills and willingness to collaborate in an interdisciplinary team

How We Work With You

When you apply through Get A Job.ai, one of our recruiters will screen your profile and arrange an initial conversation. If there's a strong match, we will submit your application to our client on your behalf. Please do not contact the client directly—we manage all communication to ensure the best outcome for you.

Pay

Compensation details will be discussed during the screening process and are competitive for working student positions in Munich.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds regardless of gender, sexual identity, nationality, ethnicity, religion, age, or disability.