Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations
About the job
What you'll do
Validate single-camera markerless motion capture against marker-based 3D motion capture and musculoskeletal models for people with stroke and Parkinson’s disease, assessing biomechanical accuracy and clinically meaningful outcomes. Develop and conduct lab and home measurements, collaborate with patients, caregivers, clinicians, and Model Health, and contribute to research publications, consortium deliverables, and clinician-facing visualizations.
What they're looking for
A PhD in biomechanical engineering, biomedical engineering, human movement sciences, or a related engineering discipline is required, along with hands-on experience in musculoskeletal modelling, marker-based motion capture, force plates, and programming in Python and/or MATLAB. Candidates should communicate effectively with clinicians and patients, work independently in a multidisciplinary team, and be fluent in English; Dutch is strongly preferred, and experience with neurological patient populations is desirable.