Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations

Postdoc Markerless Motion Capture for Home Monitoring in Neurological Populations Are you passionate about shaping the future of healthcare? Do you want to develop technology that truly matters in people’s lives? Join us in creating radical innovations that support patients at home

The BODIES group, at the department of Biomechanical Engineering TU Delft seeks a motivated postdoctoral researcher for a full-time, fully funded, 36-month project on privacy-preserving, single-camera markerless motion capture for clinical assessment and long-term home monitoring of motor impairments in stroke and Parkinson's disease patients. The position is based at TU Delft, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities (TU Delft, UTwente), 6 hospitals, 13 companies (including Model Health and Moveshelf), 1 rehabilitation centre, and 5 patient organisations. The Challenge Reliable, long-term monitoring of motor impairments outside the clinic is essential to support home-based rehabilitation, yet existing markerless motion capture systems are rarely validated on neurological gait patterns and struggle to generalize across pathology, body morphology, camera viewpoint, and home environments. This position aims to close that gap: you will develop and validate a novel single-camera markerless motion capture system, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable both clinical assessment and secure, long-term home monitoring. You will: • Validate the current markerless motion capture system against marker-based data in stroke patients • Generate biomechanically accurate synthetic video data to expand training data and enable controlled sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions • Develop a single-camera, home-based markerless system • Test the algorithm across lab and home-recorded environments to assess real-world performance • Design clinician-facing visualization tools ensuring privacy-by-design anonymization of patients and their home environment You will translate this into a research plan aimed at peer-reviewed publications, alongside consortium deliverables. Our offer You will become part of the funded research program in the Netherlands named 'Care is coming home!', which involves 9 PhDs and 5 Postdocs. So, we offer an excellent inspiring, collaborative, and international research environment, with access to leading experts in medical technology and AI-driven healthcare solutions. Additionally, you will have access to state-of-the-art labs, clinical partners, and patient organisations, which are preconditions to make a meaningful contribution to the future of sustainable healthcare. • Full-time, 36-month postdoctoral position • Excellent mentorship and a stimulating international research environment with excellent facilities

We are seeking an ambitious, hands-on postdoctoral researcher who is excited to push the boundaries of markerless motion capture and its clinical application. You are eager to combine computer vision, biomechanics, and synthetic data generation to build tools that will shape the future of home-based rehabilitation monitoring. You bring: • A PhD in Biomechanical Engineering, Biomedical Engineering, Computer Vision, Robotics, or a related discipline. • A strong curiosity for human movement analysis and markerless motion capture. • Experience with pose estimation, computer vision, and/or synthetic data generation for model training. • Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. • Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke, Parkinson's disease). • Excellent organizational and communication skills to manage a multi-site project across academic and industry partners. • Willingness to travel regularly to Model Health in Leuven, Belgium. • Ability to work independently while thriving in a collaborative, multidisciplinary consortium team. • Fluency in English, both written and spoken. - Proficiency in Dutch is a plus for patient communication; proficiency in Moroccan Arabic or Turkish is an additional advantage. If you enjoy bridging computer vision, biomechanics, and clinical tools, this postdoc is the perfect opportunity to make a real impact in home-based neurological monitoring.

Duration of contract is 3 years Temporary A job of 36-40 hours per week. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. An excellent pension scheme via the ABP. The possibility to compile an individual employment package every year. Discount with health insurers on supplemental packages. Flexible working week. Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget. Plenty of opportunities for education, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.  .

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