Postdoctoral Fellow

Job Description

We are seeking a motivated Postdoctoral Researcher to join a funded research project focused on developing AI-driven adaptive rehabilitation platforms to improve motor function in children with cerebral palsy through quantified plantar sensory input. Responsibilities:

• Develop and implement machine learning and AI algorithms for adaptive rehabilitation systems
• Analyze biomechanical and sensor data related to posture, motor control, and plantar pressure
• Support system prototyping, experimental validation, and data analysis
• Publish research findings in peer-reviewed journals and conferences Required Qualifications:
• PhD in Artificial Intelligence, Robotics, Biomedical Engineering, Computer Science, or a related field
• Strong background in machine learning and data analysis
• Experience in biomechanics or rehabilitation research is an advantage
  
  

Minimum Qualification

PhD in Artificial Intelligence, Robotics, Biomedical Engineering, Computer Science, or a closely related field Strong background in machine learning and data analysis

Preferred Qualification

Experience in biomechanics, rehabilitation engineering, or motor control research Prior work with wearable sensors, plantar pressure systems, or biomechanical data Publications in peer-reviewed journals or conferences related to AI, rehabilitation, or biomedical engineering Experience with experimental studies involving human subjects

Close Date Kindly apply before the closing date.

30/04/2026

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