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RWTH Aachen University

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PhD Positions in Physical AI and Robot Learning at RWTH Aachen University RWTH Aachen University in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 1, 2026

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Country

Germany

University

RWTH Aachen University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Electrical Engineering
Computer Vision
Python Programming
Reinforcement Learning
Robotics
Imitation Learning
Medical Robotic

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About this position

PhD Positions in Physical AI and Robot Learning are available at RWTH Aachen University, Chair of Imaging and Computer Vision, in the Physical AI Lab in Germany.

The group works on generalist robots that can autonomously solve real-world long-horizon tasks. Research topics include vision-language-action models, robotic world models, active perception, reinforcement learning, imitation learning, and medical robotics. The role involves developing and evaluating learning-based robotic systems that perceive, reason, and act, with both simulation and real-robot experiments.

Applicants should have an excellent Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. Strong skills in machine learning, computer vision, NLP, diffusion, RL, and Python/PyTorch are expected, along with high motivation, independence, teamwork, and excellent English. German is a plus.

The position is full-time and paid at EG 13 TV-L. The lab offers close supervision and mentoring, access to NEURA Gym with real-world robots, around 120 GPUs, high-end clusters, and academic collaborations with academia and industry.

Deadline: 1 September 2026.

How to apply: Email [email protected] with subject PhysicalAI_PhD_(LastName). Attach your CV, transcripts, research statement, and publications/code if available.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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