**Job Description**
This fully funded 3-year Ph.D. position at DTU Health Tech focuses on developing AI-driven Brain-Computer Interface (BCI) systems for enhancing exoskeleton control in stroke rehabilitation. The project involves a strategic collaboration with KAIST and clinical partners, aiming to translate cutting-edge neuroengineering and robotics research into real-world solutions. Key research areas include EEG signal processing, hybrid BCI design, machine learning, bioinspired control systems, neuroplasticity, motor recovery, and real-time soft exoskeleton control.
**Skills & Abilities**
• Strong programming skills in Python and MATLAB
• Background in biomedical signal processing, ML, and BCIs
• Interest in interdisciplinary and international research
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