Apply for PhD positions in CLS

cls 01 October 2023 News
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In our fully-funded doctoral fellowship program, PhD students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart / Tuebingen, Germany). All doctoral 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.

Applicants must hold or expect to obtain an excellent degree at Masters level in a relevant subject and should have a strong interest in 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.

Participating faculty 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.

Watch our video about doing a Ph.D. degree within the Max Planck ETH Center for Learning Systems.

We value diversity at our institutions. Anyone – of any gender identity, nationality or background - who meets our academic requirements is encouraged to apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply.

Further details and link to the online application are at How to Apply. Deadline for the application: November 15, 2023.