Master Thesis in Vision-Language-Action Models for Robotic Manipulation

Your tasks

In this Master's thesis, you will work with Vision-Language-Action (VLA) models, which enable robots to understand a scene, follow natural-language instructions, and execute reliable, interpretable actions in the environment.

• As part of your work, you will explore recent VLA methods and define evaluation criteria for accuracy, robustness, and data efficiency.
• You will be responsible for the implementation and benchmarking of strong baselines for manipulation tasks.
• Another key activity in your work is building the necessary data pipeline for training and evaluation.
• Finally, you will develop prototypes for action decoding strategies.

Your profile

• Education: master studies in the field of Computer Science, Robotics, Electrical Engineering, Mechanical Engineering or comparable with good grades
• Experience and Knowledge: experienced in Python and PyTorch; background in computer vision, LLMs / language modeling, imitation or reinforcement learning, or multimodal learning; good software engineering practices (Git, Clean code, reproducible experiments, documentation); familiarity with distributed training frameworks, ROS/ROS2, basic robot kinematics/control, simulators (e.g., Isaac, MuJoCo), data processing at scale, and experiment tracking (e.g., Weights & Biases) is a bonus
• Personality and Working Practice: you have a curious and proactive personality, coupled with a structured work approach, makes you comfortable driving your own experiments and effectively communicating results
• Languages: fluent in English

Contact & additional information

Start: according to prior agreement. Duration: 6 months.

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job? Babu Harisankar (Functional Department) +49 152 09915246

Apply now