The Max Planck ETH Center for Learning Systems offers a unique fellowship program, where Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Tübingen and Stuttgart. All Ph.D. fellows will register as graduate students at ETH Zurich, and upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. This highly competitive program offers a wide range of activities like retreats, workshops and summer schools. Fellowships will be remunerated through employment contracts, subjected to the rules of the Max Planck Society and ETH Zurich, respectively.
Find out more about financial support, required documents and our selection process here.
Applicants should have a strong interest in doing basic research in areas such as:
- Machine Learning and Empirical Inference of Complex Systems
- Machine Intelligence, including Machine Vision and Natural Language Understanding
- Perception-Action-Cycle for Autonomous Systems
- • Robust Model-Based Control for Intelligent Behavior
- Robust Perception in Complex Environments
- Micro- and Nano-Robotics
- Haptic Intelligence
- Data-Driven Computational Biology
- Neurotechnology and Emergent Intelligence in Nervous Systems
Participating CLS members include Michael Black, Valentina Boeva, Peter Bühlmann, Joachim Buhmann, Peer Fischer, Andreas Geiger, Luc Van Gool, Thomas Hofmann, Andreas Krause, Katherine J. Kuchenbecker, John Lygeros, Bradley Nelson, Marc Pollefeys, Gunnar Rätsch, Konrad Schindler, Bernhard Schölkopf, Roland Siegwart, Metin Sitti, Siyu Tang, Julia Vogt, and Fanny Yang. Find a complete list of CLS members and associated members here.
The application deadline is Friday, November 15, 2019 at midnight (11:59 pm) CET. The selection symposium for selected candidates will take place on Monday, January 27 and Tuesday, January 28, 2020 at the Max Planck Campus in Tübingen, Germany.
For further information please visit: https://learning-systems.org