Apply to do your Ph.D. in the doctoral training program of the Max Planck ETH Center for Learning Systems (CLS), a joint academic program between ETH Zurich, Switzerland and the Max Planck Society, Germany. We are currently accepting applications to join our program in 2027.

The goal of CLS is to advance artificial intelligence by achieving a fundamental understanding of perception, learning and adaption in complex systems by providing a platform for exchange in research and education. Applicants should have a strong interest in doing basic research in areas such as:

AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models, Reinforcement Learning, Robotics, Security and Privacy, Smart Materials, Social Questions, Soft Robotics, Statistical Learning Theory, Visual Analytics.

In our highly competitive CLS doctoral training program, fellows are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Stuttgart / Tübingen, the MPI for Informatics in Saarbrücken or the ELLIS Institute Tübingen. Each CLS fellow has a primary location (chosen based on interests and match) and conducts a mandatory 12-month exchange at the other location. All CLS Ph.D. fellows register as graduate students at ETH Zurich and, upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. Fellowships are fully funded. The program language is English.

Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject must be enthusiastic about spending an exchange year during the Ph.D. at the location of their co-advisor. Good written and spoken English is essential.  We value diversity at our institutions. If you feel that you meet our requirements, we encourage you to apply.

For further information about CLS and to register your application please visit: https://learning-systems.org