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

[CLS Coordinator]

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 in Stuttgart / Tuebingen, Germany. We are currently accepting applications to join our program in 2025.
 
In our Center for Learning Systems (CLS) doctoral training program, Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems, the MPI for Informatics in Saarbruecken or the ELLIS Institute Tuebingen. 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 are fully funded. The program language is English. 

Faculty participating in this call include: 

Zurich: Andreas Krause, April Wang, Benjamin Grewe, Christian Holz, Daniel Razansky, Fanny Yang, Florian Doerfler, Gunnar Raetsch, Julia Vogt, Marc Pollefeys, Melanie Zeilinger, Menna El-Assady, Mrinmaya Sachan, Niao He, Robert Katzschmann, Ryan Cotterell, Siyu Tang, Stelian Coros, Thomas Hofmann, Valentina Boeva.
Stuttgart/ Saarbruecken/ Tuebingen: Antonio Orvieto, Bernhard Schoelkopf, Bernt Schiele, Buse Aktas, Celestine Mendler-Duenner, Christian Theobalt, Christoph Keplinger, Frank Hutter, Janneke Schwaner, Jonas Geiping, Katherine Kuchenbecker, Konstantin Rusch, Michael Muehlebach, Moritz Hardt, Rediet Abebe, Shiwei Liu, Wieland Brendel.

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

Bio-inspired / Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Graph Representation Learning, 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, Scientific Machine Learning, Security and Privacy, Smart Materials, Social Questions, Soft Robotics, Statistical Learning Theory, Visual Analytics.
 
Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject and must be enthusiastic about spending an exchange year during the Ph.D. at the location of their co-advisor. Good written and spoken English is essential. We value diversity at our institutions. If you feel that you meet our requirements, we encourage you to apply.

Apply via our online application portal at https://learning-systems.org/apply.
Deadline for the application: midnight (23:59 CET) on November 05, 2024.
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