PhD Research Fellow in AI for Rehabilitation and Motor Learning (ref 303644)
Core
Design adaptive, AI-driven interactive environments (serious games and biofeedback systems) that respond in real time to physiological signals to support motor learning, rehabilitation, and therapeutic engagement.
Role type
PhD Research Fellow in AI for Rehabilitation and Motor Learning
Builds
Adaptive AI-driven interactive environments for health and well-being
Domain
Computer science, AI, rehabilitation, motor learning
Deliverable
research
Required skills
AI, rehabilitation, motor learning, designing interactive environments, working with physiological signals
Responsibilities
Investigate the design of adaptive, AI-driven interactive environments that respond in real time to user physiological signals to support motor learning and rehabilitation.
Sourced via euraxess · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
