CLS PhD Program 2026: The CLS offers a prestigious doctoral training program for outstanding candidates looking to commence their PhD in 2026. This program provides a competitive fellowship aimed at fostering research excellence across multiple interdisciplinary fields.
Designation
PhD Fellowship in the CLS Doctoral Training Program
Research Area
Candidates are encouraged to explore research topics in various fields including, but not limited to:
- Bio-inspired/Bio-hybrid Robotics
- Biomechanics
- Computational Biology
- Deep Learning
- Human-Robot Interaction
- Medical Robotics
- Natural Language Processing
- Reinforcement Learning
- Soft Robotics
Location
Tübingen, Germany
Eligibility/Qualification
- Must hold or expect to hold an excellent Master’s degree in a relevant field such as computer science, physics, engineering, applied mathematics, materials science, neuroscience, or related disciplines.
- Candidates holding only a Bachelor’s degree are not eligible.
- A strong interest in conducting basic research is essential.
- Proficiency in written and spoken English is required (formal qualifications like TOEFL or GRE are not mandatory but can strengthen the application).
- Women and individuals with disabilities are particularly encouraged to apply.
Job Description
Selected PhD candidates will engage in cutting-edge research, contributing to various projects that push the boundaries of science and technology. They will work closely with CLS partners and advisors to develop their research topic and timeline.
How to Apply
- Complete the online application form via the CLS application portal.
- Upload required supporting documents, including:
- Degree certificates and transcripts
- A motivation letter
- A CV
- Arrange for 2-3 reference letters to be submitted directly to the online system.
- Ensure all submissions are completed by the application deadline.
Last Date to Apply
Midnight (11:59 PM) CET on November 5, 2025
Shortlisted candidates will be invited for an interview at the CLS2026 Selection Symposium in Tübingen on February 2-3, 2026.
