Max Planck–ETH Center for Learning Systems (CLS) Funded PhD Positions 2027 – AI, Robotics & Machine Learning in Germany & Switzerland – Apply by 2 November 2026

The Max Planck–ETH Center for Learning Systems (CLS) is now accepting applications for fully funded PhD positions starting in 2027. This prestigious joint program offers a rare opportunity to be co-supervised by leading scientists from both ETH Zurich in Switzerland and the Max Planck Institute for Intelligent Systems in Germany, with a mandatory 12-month exchange between both institutions. Research areas include machine learning, AI, robotics, computational neuroscience, and related fields.

Key Details

  • Program: Max Planck–ETH Center for Learning Systems (CLS) PhD Fellowship 2027
  • Host Institutions: ETH Zurich (Switzerland) & Max Planck Institute for Intelligent Systems (Tübingen/Stuttgart, Germany)
  • Degree Awarded: PhD from ETH Zurich
  • Research Areas: Machine learning, artificial intelligence, robotics, learning systems, applied mathematics, computational neuroscience, materials science
  • Funding: Fully funded — competitive doctoral salary, research resources, and exchange support
  • Structure: Co-supervised by one advisor from ETH Zurich and one from the Max Planck Society; mandatory 12-month exchange at the partner institution
  • Eligibility: Excellent Master’s-level degree (or nearing completion) in computer science, physics, engineering, applied mathematics, neuroscience, or a related discipline
  • Deadline: 2 November 2026, 23:59 CET
  • Apply: learning-systems.org/apply

Why Apply?

CLS brings together two of Europe’s most celebrated research institutions, giving PhD students access to world-class infrastructure, a vibrant international community, and dual mentorship from top researchers. CLS alumni have gone on to faculty positions and research roles at leading universities and technology companies worldwide.

The deadline is 2 November 2026 — act now to secure your place in this exceptional program.

Always verify deadlines and details on the official CLS website before applying.

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