Connectionists: Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems (CLS)

[CLS Coordinator]

Apply to do your Ph.D. in our Research Center between ETH Zurich, Switzerland and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems, Germany. We are currently accepting applications to join our program in 2027.

CLS doctoral fellows are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Stuttgart / Tuebingen, the MPI for Informatics in Saarbruecken or the ELLIS Institute Tuebingen. 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. 
 
Faculty participating in this call (*only available as co-advisor for the one-year exchange):
 
Zurich: Andreas Krause*, April Wang*, Benjamin Grewe, Celestine Mendler-Duenner, Christian Holz*, Daniel Razansky, Florian Doerfler, Gunnar Raetsch, Julia Vogt, Konrad Schindler, Marc Pollefeys, Menna El-Assady, Mrinmaya Sachan, Niao He, Quentin Boehler, Robert Katzschmann, Siddhartha Mishra, Siyu Tang, Stelian Coros.
Stuttgart/ Saarbruecken/ Tuebingen: Alberto Comoretto, Antonia Georgopoulou, Antonio Orvieto*, Bernt Schiele, Bernhard Schoelkopf, Buse Aktas, Chelsea Rose Sidrane, Christian Theobalt, Jakob Macke, Jonas Geiping, Kashyap Chitta, Katherine Kuchenbecker, Konstantin Rusch, Maksym Andriushchenko, Maximilian Dax, Moritz Hardt, Philipp Mueller, Rediet Abebe, Renate Sachse, Sahar Abdelnabi, Shiwei Liu.
 
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.
 
Application
  
Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject. 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. 

Apply via our online application portal at https://learning-systems.org/apply.
The application deadline is midnight (23:59 CET) on November 2, 2026.

Dr. Sarah Danes
Coordinator, Max Planck ETH Center for Learning Systems (CLS)
https://learning-systems.org

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