PhD Position, Computer Vision

Core responsibilities:

• Develop closed-loop control architectures integrating neural interfaces with robotic systems
• Establish robust organoid–machine interfaces including neural signal acquisition and real-time decoding
• Combine intelligent interfaces with bioengineered muscle actuators to create biohybrid systems
• Progress from foundational experiments to high-impact demonstrators in organoid intelligence and biohybrid robotics

This role advances biohybrid robotics by integrating biological neural activity with robotic systems, potentially leading to breakthroughs in neural interfaces, adaptive control, and intelligent systems that could transform healthcare, rehabilitation, and human-machine interaction.

Required qualifications:

• Master's degree in biomedical engineering, neural engineering, computational neuroscience, bioengineering, or related field
• Strong background in neural engineering/electrophysiology, computational neuroscience with machine learning focus, or biofabrication/tissue engineering
• Strong English communication skills (written and spoken)
• Prior research experience demonstrated through thesis, research project, or equivalent
• Experience with academic writing or research dissemination
• Interest in collaborative, interdisciplinary research at biology-engineering-computation interface

Benefits include:

• International, collaborative, curiosity-driven research environment
• Access to cutting-edge infrastructure including advanced fabrication and testing equipment
• Extensive mentoring, supervision, and career-planning support
• Opportunities for collaboration with world-leading research groups
• Networking through conferences, seminars, and research visits
• Fully funded, competitive salary (exact amount not specified)

The Max Planck Institute for Intelligent Systems conducts research at the interface of biology and robotics, with the Cyborg Robotics and Intelligent Sensing (CyRIS) Group specifically working on biohybrid systems that integrate biological components with robotic technologies.