Research associate Jobs in Dachau

Job Description

Modern Vision Language Action (VLA) models perform well on short‑horizon robotic tasks but often struggle with long‑term planning and multi‑step control. A promising direction is to enhance VLA architectures by integrating them with Physical AI models capable of understanding physical effects, e.g. for challenging, unstructured environments.

For such VLA-based physical AI systems, the project aims to evaluate and quantify a robot’s action‑generation capability of a physical AI VLA model for more challenging, unstructured environments, and to develop a clearer understanding how these contribute to more stable and capable long‑horizon action generation.

Research Areas

• Survey state-of-the-art VLA models and world-model approaches;
• Implement and benchmark physical variants using a VLA framework;
• Develop simulation-based setups for model evaluation in challenging scenarios;
• Explore and validate improved integration strategies based on the findings (if feasible);
• Identify and design task-specific fine-tuning strategies to improve model performance (if feasible).

Qualifications

• Currently enrolled in a Computer Science / Engineering Master studies with a focus on data analysis, automotive, engineering or similar
• Basic understanding of and strong interest in robotics
• Basic understanding of computer vision
• Ability to understand and run modern deep-learning and robotics codebases
• Proficiency in Python or C/C++
• Experience with physical AI, world models, and simulation is a plus

Additional Information

• Home office: Possibility to work from home
• Health: Yearly health & wellbeing days, Urban Sports Club membership
• Attractive working environment: Modern offices, canteen onsite and free parking
• Open company culture: Diverse, multicultural team
• Events: Regular company & team events

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