Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems

Apply to do your PhD in our joint academic program between ETH Zurich, Switzerland and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems in Stuttgart / Tuebingen, Germany. We are currently accepting applications to join our program in 2023.

In our unique doctoral training program, PhD students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society. All PhD 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. The highly competitive fellowship program offers a wide range of activities including retreats and workshops. Fellowships will be remunerated through employment contracts with the Max Planck Society and ETH Zurich. The program language is English.

Faculty participating in this call include: Afonso Bandeira, Andreas Krause, Benjamin Grewe, Bernhard Schölkopf, Christian Holz, Christoph Keplinger, Daniel Razansky, David Steurer, Fanny Yang, Fisher Yu, Florian Tramèr, Florian Dörfler, Gunnar Rätsch, Jörg Stückler, Justus Thies, Katherine Kuchenbecker, Klaas Prüssmann, Konrad Schindler, Marc Pollefeys, Marco Hutter, Mehmet Fatih Yanik, Metin Sitti, Michael Black, Michael Mühlebach, Moritz Hardt, Mrinmaya Sachan, Niao He, Nicolai Meinshausen, Otmar Hilliges, Richard Hahnloser, Robert Katzschmann, Samira Samadi, Siyu Tang, Wieland Brendel.

You should have a strong interest in doing basic research in areas such as:

• Bio-inspired / Bio-hybrid Robotics
• Causal Inference
• Computational Biology
• Computer Graphics
• Computer Vision
• Control Systems
• Digital Humans
• Earth Observation
• 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
• Soft Robotics
• Statistical Learning Theory

You are expected to hold an excellent degree at Masters's level in a relevant subject and should be enthusiastic about spending time during your PhD at both CLS partners. Good written and spoken English is essential. Anyone – of any gender, nationality or background - who meets our academic requirements is encouraged to apply.