PhD positions at CLS

In our fully-funded doctoral fellowship program, PhD students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart/Tübingen, Germany). Additional participating faculty are drawn from the MPI for Informatics (Saarbrücken) and the ELLIS Institute Tübingen. All doctoral fellows will register as graduate students at ETH Zurich and, upon successful completion of their PhD project, will be granted a doctoral degree by ETH.

Applicants must hold or expect to obtain an excellent degree at the Masters level in a relevant subject and need to be enthusiastic about spending an exchange year during the Ph.D. at the location of their co-advisor. The Center covers basic research in areas such as:

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

Participating faculty include

Zurich: 

Andreas Krause, April Wang, Benjamin Grewe, Christian Holz, Daniel Razansky, Fanny Yang, Florian Dörfler, Gunnar Rätsch, Julia Vogt, Marc Pollefeys, Melanie Zeilinger, Menna El-Assady, Mrinmaya Sachan, Niao He, Robert Katzschmann, Ryan Cotterell, Siyu Tang, Stelian Coros, Thomas Hofmann, Valentina Boeva.
 

Stuttgart/Saarbrücken/Tübingen: 

Antonio Orvieto, Bernhard Schölkopf, Bernt Schiele, Buse Aktaş, Celestine Mendler-Dünner, Christian Theobalt, Christoph Keplinger, Frank Hutter, Janneke Schwaner, Jonas Geiping, Katherine Kuchenbecker, Konstantin Rusch, Michael Mühlebach, Moritz Hardt, Rediet Abebe, Shiwei Liu, Wieland Brendel.

Watch our video about doing a Ph.D. within the Max Planck ETH Center for Learning Systems.

Our institutes strive for gender equality and diversity. If you feel that you meet our academic requirements, we encourage you to apply.

Further details and a link to the online application are at How to Apply. Deadline for the application: November 5, 2024.