Max Planck Institute for Intelligent Systems
6 days ago
PhD Opportunity in AI, Machine Learning, Robotics, and Learning Systems at CLS Max Planck ETH Center for Learning Systems in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Fellowships for the CLS doctoral training program are awarded through a highly competitive annual selection process. The post is a funded doctoral fellowship/PhD position within the program; no stipend amount or tuition details are stated in the post.
Deadline
Nov 2, 2026
Country
Germany
University
Max Planck Institute for Intelligent Systems
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About this position
Application open for a PhD starting in 2027 at the Max Planck ETH Center for Learning Systems (CLS), a joint academic program between ETH Zurich and the Max Planck Society.
The program focuses on artificial intelligence, machine learning, robotics, and learning systems, with research interests spanning AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Vision, Control Systems, Deep Learning, Human-Computer Interaction, Human-Robot Interaction, Medical Robotics, Natural Language Processing, Optimization, Reinforcement Learning, Security and Privacy, Smart Materials, Soft Robotics, and Statistical Learning Theory.
Eligibility: applicants must hold or expect to hold an excellent Master's-level degree in a relevant field such as computer science, physics, engineering, applied mathematics, materials science, or neuroscience. Applicants with only a Bachelor's degree are not eligible. Strong written and spoken English is required.
Funding: CLS doctoral fellows are selected through a competitive annual process. The post is a doctoral fellowship; no stipend amount is stated in the post. A formal English qualification such as TOEFL or GRE is not required, though other evidence of English proficiency may strengthen the application.
Application deadline: 2026-11-02 at 11:59pm CET. Shortlisted candidates will be invited to the CLS2027 Selection Symposium in Tübingen on March 1-2, 2027. Apply via the online portal and submit the form, supporting documents, and 2-3 reference letters before the deadline.
Funding details
Fellowships for the CLS doctoral training program are awarded through a highly competitive annual selection process. The post is a funded doctoral fellowship/PhD position within the program; no stipend amount or tuition details are stated in the post.
What's required
Applicants must hold or expect to hold an excellent Master's-level degree in a relevant subject such as computer science, physics, engineering, applied mathematics, materials science, neuroscience, or a related field. Applicants with only a Bachelor's degree are not eligible. Strong written and spoken English is essential. A formal English qualification such as TOEFL or GRE is not required, but applicants without such a qualification must provide other evidence of English proficiency. Applicants should be willing to spend time at both CLS partners, including a 12-month exchange at the co-advisor's location, and the Master's degree must be completed before the PhD contract start date.
How to apply
Apply through the online application portal and do not submit by email or post. Complete the online form, upload degree certificates/transcripts, a motivation letter, and your CV, and arrange for 2-3 reference letters to be submitted directly to the system. Submit all parts by the deadline.
More information can be found here
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