PhD Position Movement Biomarkers in Stroke Recovery
Join the CEREBRIS project at Lake Lucerne Institute to advance markerless motion capture and movement biomarkers for stroke rehabilitation.
Best for:Best for computer vision and biomechanics researchers with Python or C# experience interested in clinical movement analysis and neurorehabilitation.
Overview
The Lake Lucerne Institute (LLUI) invites applications for a fully funded PhD position focusing on movement biomarkers in stroke recovery within the Therapy Science Lab. Embedded in the EU-funded CEREBRIS project, the research involves developing and validating multi-view and monocular markerless motion capture pipelines and translating kinematics into clinically interpretable formats. The successful candidate will collaborate with an interdisciplinary European consortium of 14 partners to improve neurorehabilitation technologies. Applicants are expected to hold a relevant master's degree and bring expertise in computer vision, motion analysis, and programming languages such as Python or C#.
What you'll do
- Contribute to the development and validation of multi-view and monocular markerless motion capture pipelines and quality assurance frameworks for kinematic datasets
- Translate complex kinematic outputs into clinician-interpretable formats to support patient-centered rehabilitation planning
- Support the generation and implementation of synthetic data for evaluation purposes
- Engage in scientific writing, documentation, and dissemination of research findings within the CEREBRIS consortium
Requirements
Degree required: Master’s degree in Biomechanics, Biomedical Engineering, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field
Degree offered: PhD
Language: Strong communication skills in English, both oral and written
Instruction: English
- Experience with computer vision for motion analysis
- Understanding of study design, scientific methods, and statistical modelling
- Proficiency in Python, C#, or an equivalent programming language
- Basic knowledge of machine learning or deep learning
Funding & terms
How to apply
Deadline: 2026-09-30
Interested candidates should prepare a CV, cover letter, diplomas and transcripts, and contact details of two referees. Submit the complete application package via email to the designated address by the specified deadline.
- CV
- Cover letter
- Diplomas and transcripts
- Contact details of two referees
Contact
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