PhD Position in Adaptive Sensing: The Cyborg Robotics and Intelligent Sensing (CyRIS) Group at the Max Planck Institute for Intelligent Systems is inviting applications for a PhD position focused on developing biohybrid control architectures that integrate biological neural activity with robotic systems.
PhD Position in Neural Interfaces and Adaptive Sensing
Designation
PhD Student Position (M/F/DIV) in Neural Interfaces and Adaptive Sensing
Research Area
- Biohybrid Robotics
- Neural Engineering
- Computational Neuroscience
- Biofabrication and Tissue Engineering
Location
Max Planck Institute for Intelligent Systems, Max Planck Institute Website
Eligibility/Qualification
- Master’s degree in biomedical engineering, neural engineering, computational neuroscience, bioengineering, or a related field.
- Strong communication skills in English (written and spoken).
- Prior research experience (thesis, research project, or equivalent).
- Experience in academic writing or research dissemination (thesis, reports, manuscripts) is advantageous.
- Interest in collaborative research and interdisciplinary work at the interface of biology, engineering, and computation.
Description
The PhD project involves developing closed-loop control architectures that utilize neural interfaces for adaptive robotic behaviors. The aim is to create robust organoid–machine interfaces featuring neural signal acquisition and real-time decoding. The intelligent interfaces will be combined with bioengineered muscle actuators to form biohybrid systems that integrate sensing, computation, and movement. This position allows for exploring cutting-edge directions in organoid intelligence, adaptive control, and biohybrid robotics.
How to Apply
Interested candidates should submit the following application materials:
- CV / Resumé in English
- Cover Letter in English
- Academic transcripts from the most recent degree program
- Contact information for two to three academic or professional references
Applications should be uploaded via the designated application portal.
For further inquiries, please contact Dr. Antonia Georgopoulou at ageorgopoulou@is.mpg.de.
Last Date for Apply
February 28, 2026
This scholarship provides a unique opportunity for motivated individuals to advance their research careers in a collaborative and cutting-edge environment focused on biohybrid systems.
