The highly competitive CLS doctoral training program offers fellows joint supervision by advisors from ETH Zurich and the MPI for Intelligent Systems in Stuttgart / Tübingen, the MPI for Informatics in Saarbrücken, or the ELLIS Institute Tübingen. Fellows choose a primary location based on interests and match, and conduct a mandatory 12-month exchange at the other location. All CLS Ph.D. fellows register as graduate students at ETH Zurich and, upon successful completion, are granted a doctoral degree by ETH. Fellowships are fully funded and the program language is English.
Tasks
- Choose a primary location based on interests and match.
- Conduct a mandatory 12-month exchange at the other location.
- Register as a graduate student at ETH Zurich.
- Complete a Ph.D. project under joint supervision.
Requirements
- Have a strong interest in basic research in areas such as AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models, Reinforcement Learning, Robotics, Security and Privacy, Smart Materials, Social Questions, Soft Robotics, Statistical Learning Theory, Visual Analytics.
- Hold or expect to hold an excellent degree at Masters level in a relevant subject.
- Have good written and spoken English skills.
Benefits
- Fully funded fellowships.
- Joint supervision by ETH Professors and MPI Directors, Group Leaders or PIs at the ELLIS Institute Tübingen.
- Opportunity for outstanding collaborations and exchange early in your career.
- Doctoral degree from ETH Zurich upon successful completion.
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