PhD positions at CLS

PhD positions at CLS

The Max Planck ETH Center for Learning Systems (CLS) is looking for PhD students.

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/Tübingen, Germany). Additional participating faculty are drawn from the MPI for Informatics (Saarbrücken) and the ELLIS Institute Tübingen. 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 the Masters level in a relevant subject and need to be enthusiastic about spending an exchange year during the Ph.D. at the location of their co-advisor. The Center covers basic research in areas such as:

1. Bio-inspired / Bio-hybrid Robotics
2. Biomechanics
3. Causal Inference
4. Computational Biology
5. Computer Graphics
6. Computer Vision
7. Control Systems
8. Deep Learning
9. Digital Humans
10. Earth Observation
11. Educational Technology
12. Efficient AI
13. Explainable AI
14. Graph Representation Learning
15. Haptics
16. Human-Computer Interaction
17. Human-Robot Interaction
18. Imaging Technology
19. Machine Learning
20. Medical Informatics
21. Micro- and Nano-Robotics
22. Natural Language Processing
23. Neuroinformatics
24. Optimization
25. Perceptual Inference
26. Probabilistic Models
27. Reinforcement Learning
28. Robotics
29. Scientific Machine Learning
30. Security and Privacy
31. Smart Materials
32. Social Questions
33. Soft Robotics
34. Statistical Learning Theory
35. Visual Analytics

Participating faculty include

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

Our institutes strive for gender equality and diversity. If you feel that you meet our academic requirements, we encourage you to apply.

Further details and a link to the online application are at How to Apply. Deadline for the application: November 5, 2024.

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