PhD Position in Video-Based Hand Motion Tracking for Rheumatoid Arthritis Patients

This PhD position at Delft University of Technology (TU Delft) focuses on advancing video-based hand motion tracking to assess rheumatoid arthritis (RA) flare-ups in home environments. The project aims to create computational models and pose estimation algorithms to quantify hand function changes due to daily stressors and treatments. The successful candidate will contribute to an interdisciplinary consortium involving technical universities, hospitals, companies, and patient organizations, ensuring real-world applicability and open-science dissemination. The role combines research with mentoring opportunities, international collaboration, and professional development in a dynamic biomechanical engineering environment.

• Develop and apply computational models and video-based tools to capture and analyze hand movement and function in real-world home environments.
• Investigate the causes and timing of rheumatoid arthritis flare-ups using collected data and developed algorithms.
• Contribute to open-source data repositories and open-science initiatives aligned with TU Delft’s commitment.
• Collaborate with a large consortium including technical universities, hospitals, companies, and patient organizations.
• Mentor and teach BSc/MSc students, present research at international conferences, and participate in workshops and training programs abroad.
• Publish research findings in peer-reviewed journals and contribute to doctoral education courses.