🇩🇪 PhD in Open-World Robot Learning

Location: Germany

PhD position in open-world robot learning at University of Freiburg, Germany

We are seeking highly motivated PhD students to join the Robot Learning Lab at the University of Freiburg, Germany. The PhD positions focus on advancing open-world robot learning, including open-world perception, continual and lifelong adaptation, generalizable world models, foundation models for embodied intelligence, and open-world decision making and policy learning.

Key requirements include a Master’s degree in computer science, robotics, machine learning, or a related field, strong background in robotics and machine learning, proficiency in Python and deep learning frameworks such as PyTorch, and excellent written and communication skills in English.

• Open-World Perception: Developing methods for structured representations of unseen objects and scenes.
• Continual and Lifelong Adaptation: Enabling robots to learn throughout deployment and adapt to changing environments.
• Generalizable World Models: Learning predictive models for geometry, semantics, dynamics, and affordances.
• Foundation Models for Embodied Intelligence: Building multimodal robot learning models combining vision, language, action, and memory.
• Open-World Decision Making and Policy Learning: Advancing reinforcement learning methods for long-horizon decision making and online policy adaptation.

To apply, please send your CV, motivation and research statement, unofficial transcripts, and contact details of referees to rl-apply@cs.uni-freiburg.de.

Tags: PhD position, open-world robot learning, robotics, machine learning, computer science, University of Freiburg, Germany, embodied intelligence, reinforcement learning