Publisher
source

Delft University of Technology

Postdoc: Markerless Motion Capture for Home Monitoring in Neurological Populations Delft University of Technology in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fully funded postdoctoral position; full-time for one year with the possibility of extension by up to two years.

Deadline

Nov 13, 2026

Country flag

Country

Netherlands

University

Delft University of Technology

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Biology
Parkinson's Disease
Neuropsychology
Salud Pública
Motion Analysis
Stroke
Injury Rehabilitation
Biomechanic
Home Monitoring
Pose Estimation

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About this position

This postdoctoral project at Delft University of Technology focuses on the clinical validation of single-camera markerless motion capture for assessing and monitoring motor impairments in people with stroke and Parkinson’s disease. Working in the Department of Biomechanical Engineering, you will help determine how well markerless methods perform when moved beyond the lab into real-world home environments.

The project brings together biomechanical engineering, clinical collaboration, and home-based measurement. You will compare markerless outcome measures with gold-standard marker-based 3D motion capture and musculoskeletal models, evaluate biomechanical plausibility, and test the validity and meaningfulness of these measures for patients, caregivers, and clinicians. A key part of the work is to bridge accuracy in the lab with real-world performance in patients’ homes.

You will also contribute to the development and improvement of a home-based prototype created with Model Health in Leuven, Belgium, and work on clinician-facing visualisation with privacy-by-design considerations. The postdoc is embedded in the multidisciplinary “Care is coming home!” programme, a large consortium spanning technical universities, hospitals, companies, a rehabilitation centre, and patient organisations, offering access to clinical partners, patient environments, and state-of-the-art laboratory facilities.

Supervision is by Dr. Eline van der Kruk and Dr. Ajay Seth.

Funding details

Fully funded postdoctoral position; full-time for one year with the possibility of extension by up to two years.

What's required

Applicants should have a PhD in Biomechanical Engineering, Biomedical Engineering, Human Movement Sciences, or a related engineering discipline. Required experience includes hands-on musculoskeletal modelling (e.g., OpenSim, AnyBody) with critical evaluation of model outputs, marker-based 3D motion capture (e.g., Vicon, Qualisys) and force plates from protocol design to data processing, and strong programming skills in Python and/or MATLAB for data processing, analysis pipelines, and statistics. Experience with markerless or video-based pose estimation (e.g., OpenCap) is a plus. Candidates should have experience with or strong motivation to work with patient populations, preferably stroke or Parkinson’s disease, excellent communication and organization skills, willingness to travel regularly to Leuven, clinical sites, and patients’ homes in the Netherlands, and the ability to work independently in a multidisciplinary consortium. Fluency in English is required; Dutch is strongly preferred, and Moroccan Arabic or Turkish is an additional advantage.

How to apply

Apply via the application button by 13 November 2026 and upload your CV and cover letter. If shortlisted, provide contact details for at least two referees, with at least one academic. Address the application to Dr. ir. Eline van der Kruk.

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