Physical AI Lab

Your responsibilities

Research on learning-based robotic systems that perceive, reason and act in complex environments. Possible topics include vision-language-action models, robotic world models, active perception, structured memory systems, human-robot cognitive alignment, hybrid imitation and reinforcement learning, and medical robotics.

Your work will include developing methods, implementing and evaluating models, running experiments in simulation and with physical robots, publishing at top international venues, and contributing to the development of the group.

Your profile

An excellent master’s degree in computer science, electrical engineering, robotics, or a related field
Solid knowledge of at least one — ideally several — of machine learning, computer vision, language models, robotics, diffusion models, or reinforcement learning
Strong programming skills, with the ability to rapidly prototype, implement and evaluate research ideas, preferably in Python and PyTorch
High motivation, scientific curiosity, and the ability to work both independently and collaboratively
Excellent communication skills in English; German is advantageous but not required

What we offer

The opportunity to join and shape a young and growing research group
Close supervision and scientific mentoring, with support for publications, conference participation and academic career development
Access to the newly built NEURA Gym RWTH Aachen, with robots operating in real-world scenarios
Extensive on-premises computing infrastructure including around 120 GPUs, plus additional high-end GPU clusters on demand
Active collaborations with partners from academia and industry
A full-time position at pay grade EG 13 TV-L

Application

Applications are reviewed on a rolling basis. Please include a CV, academic transcripts, a statement of research interests, and, if available, links to publications, thesis work, or code repositories.

PhysicalAI_PhD_{LastName}

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