CLS doctoral fellowships 2022: Call for applications

Funded Ph.D. positions are available at the Max Planck ETH Center for Learning Systems, known as CLS. Apply to do your Ph.D. in our joint academic program between ETH Zurich, Switzerland, and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems located in Stuttgart and Tübingen, Germany. We are currently accepting applications to join our program in 2022.

The Max Planck ETH Center for Learning Systems aims 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:

• 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
• Synthetic, Bio-Inspired, and Bio-Hybrid Micro/Nanoscale Robotic Systems
• Haptic Intelligence
• Data-Driven Computational Biology and Medical Informatics
• Neurotechnology and Emergent Intelligence in Nervous Systems

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

Participating faculty include: Afonso Bandeira, Michael Black, Valentina Boeva, Stelian Coros, Florian Dörfler, Olga Fink, Benjamin Grewe, Richard Hahnloser, Moritz Hardt, Niao He, Otmar Hilliges, Christian Holz, Marco Hutter, Robert Katzschmann, Christoph Keplinger, Andreas Krause, Katherine Kuchenbecker, John Lygeros, Nicolai Meinshausen, Michael Mühlebach, Bradley Nelson, Marc Pollefeys, Klaas Prüssmann, Gunnar Rätsch, Daniel Razansky, Mrinmaya Sachan, Samira Samadi, Bernt Schiele, Bernhard Schölkopf, Metin Sitti, David Steurer, Jörg Stückler, Siyu Tang, Justus Thies, Julia Vogt, Fanny Yang, Fisher Yu, Melanie Zeilinger.

Applicants must hold or expect to hold an excellent degree at the Master's level in a relevant subject and should be enthusiastic about spending time during their Ph.D. 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.

Please apply via our online application portal at https://learning-systems.org/apply.
The application deadline is midnight (23:59 CET) on November 1, 2021.

For further information about CLS visit our website: https://learning-systems.org