PhD Position Movement Biomarkers in Stroke Recovery

Your responsibilities will include: Upper-limb marker less kinematics (50%) – Contribute to development and validation of multi-view (primary) and monocular (secondary) marker less motion capture pipelines, and a quality assurance framework for kinematic datasets. Clinical interpretable information (20%) – Assist in translating kinematic outputs into clinician-interpretable formats. Scientific writing and dissemination (20%). Synthetic data (10%) – Support generation and implementation of synthetic data.

The Lake Lucerne Institute (LLUI) is an independent, non-profit research and education institute based in Vitznau, Switzerland, committed to developing and implementing technological solutions that improve rehabilitation outcomes and bridge the gap between theory and practice. Within the Therapy Science Lab, our research focuses on ubiquitous rehabilitation—aligning interventions with a patient’s clinical state, lesion characteristics, and multimodal biomarkers to optimize therapeutic effectiveness, across the pathway of care. This research axis is embedded in the CEREBRIS project, an EIC Pathfinder Open initiative conducted by a consortium of 14 European partners.

• Experience with computer vision for motion analysis

• Master’s degree in Biomechanics, Biomedical Engineering, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field.

• Understanding of study design, scientific methods, and statistical modelling

• Python, C# or equivalent language expertise

• Basic knowledge of machine learning or deep learning

• Exposure to musculoskeletal modelling

• Familiarity with containerization or version control workflows

• Interest in regulatory AI reporting frameworks

• Interest in synthetic data generation

• Reliability and structured work

• Strong communication skills in English (oral and writing)

• Enthusiastic, friendly, and communicative approach to work