Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems
- 15 October 2023
Apply to do a Ph.D. in the joint academic program between ETH Zurich and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems in Stuttgart and Tübingen. We are currently accepting applications to join our program in 2024.
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 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, Antonio Orvieto, Bernhard Schölkopf, Bernt Schiele, Celestine Mendler-Dünner, Christian Holz, Christoph Keplinger, David Steurer, Florian Tramèr, Florian Dörfler, John Lygeros, Jonas Geiping, Konrad Schindler, Marc Pollefeys, Michael Mühlebach, Moritz Hardt, Mrinmaya Sachan, Niao He, Robert Katzschmann, Ryan Cotterell, Samira Samadi, Siyu Tang, Thomas Hofmann, Wieland Brendel.
Applicants 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
Security and Privacy
Social Questions
Soft Robotics
Statistical Learning Theory
In addition, applicants must hold or expect to hold an excellent degree at Masters 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.
Interested? Please apply via our online application portal at https://learning-systems.org/apply. The application deadline is midnight (23:59 CET) on November 15, 2023.
CLS
