University of Lucerne
6 days ago
PhD Position in Movement Biomarkers for Stroke Recovery Lake Lucerne Institute in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
PhD position with competitive compensation in a supportive and collaborative environment; the post is fixed-term and embedded in the CEREBRIS EIC Pathfinder Open project. No stipend amount or tuition details are stated.
Deadline
Sep 30, 2026
Country
Switzerland
University
University of Lucerne
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About this position
PhD Position in Movement Biomarkers for Stroke Recovery at the Lake Lucerne Institute (LLUI), within the Therapy Science Lab and the CEREBRIS project (EIC Pathfinder Open).
This PhD opening focuses on upper-limb markerless motion capture, movement classification, outcome modelling, and synthetic data evaluation for stroke rehabilitation. The work sits at the intersection of biomedical engineering, computer vision, neurorehabilitation, biomechanics, and machine learning, with an emphasis on clinically meaningful digital biomarkers and patient-centered rehabilitation planning.
The successful candidate will contribute to development and validation of multi-view and monocular markerless kinematics pipelines, quality assurance for kinematic datasets, translation of outputs into clinician-interpretable formats, scientific dissemination, and synthetic data support. The broader project aims to advance scalable biomechanical assessment systems and contribute to validated laboratory demonstration within the CEREBRIS technology roadmap.
Eligibility highlights: a Master’s degree in Biomechanics, Biomedical Engineering, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field; experience with computer vision for motion analysis; understanding of study design and statistical modelling; programming skills in Python, C# or equivalent; and basic machine learning/deep learning knowledge. Desirable experience includes musculoskeletal modelling, version control/containerization, regulatory AI reporting frameworks, and synthetic data generation.
Funding: competitive compensation is mentioned, but no stipend amount is provided. The position is fixed-term and based in Switzerland.
Application: submit a CV, cover letter, diplomas/transcripts, and two referees’ contact details by 30 September 2026. Applications should be sent to [email protected].
Funding details
PhD position with competitive compensation in a supportive and collaborative environment; the post is fixed-term and embedded in the CEREBRIS EIC Pathfinder Open project. No stipend amount or tuition details are stated.
What's required
Master’s degree in Biomechanics, Biomedical Engineering, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field. Experience with computer vision for motion analysis is mandatory, along with understanding of study design, scientific methods, and statistical modelling. Applicants should have Python, C# or equivalent programming expertise and basic knowledge of machine learning or deep learning. Desirable experience includes musculoskeletal modelling, containerization or version control workflows, interest in regulatory AI reporting frameworks, and interest in synthetic data generation. Strong English communication skills, reliability, and a structured working style are expected.
How to apply
Submit a CV, cover letter, diplomas and transcripts, and contact details of two referees by email. Send the application to [email protected] and use the online application/contact option if applicable. Incomplete applications or applications not matching the profile will not be considered.
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