PhD in Marker-Less Movement Biomarkers for Stroke Recovery

Master in Integrated Building Systems ETH Zürich; Zürich; Vor Ort; CHF 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Remote work options

Supervision and mentoring

Collaborative interdisciplinary team

Zusammenfassung

The Lake Lucerne Institute (LLUI) at ETH Zurich invites applications for a PhD student position focusing on upper-limb markerless motion capture, movement classification, and outcome modelling in stroke populations. You will help develop scalable biomechanical assessment systems for clinical and research use.

Join a small, interdisciplinary team and collaborate across Europe to advance data-driven rehabilitation solutions, with opportunities for remote work and professional development.

Qualifikationen

• 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 study design, scientific methods, and statistical modelling.
• Strong programming skills in Python, C#, or equivalent.
• Knowledge of machine learning or deep learning.

Aufgaben

• Upper-limb markerless kinematics development and validation (50%).
• Translate kinematic outputs into clinician-friendly formats.
• Scientific writing and dissemination.
• Generate and implement synthetic data.

Kenntnisse

Experience with computer vision for

Python, C# or equivalent language

Basic knowledge of machine learning or

Strong communication skills in English

Ausbildung

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

Tools

Containerization workflows

Version control workflows

Exposure to musculoskeletal modelling

Jobbeschreibung

The Lake Lucerne Institute (LLUI) at ETH Zurich invites applications for a PhD student position focusing on upper-limb markerless motion capture, movement classification, and outcome modelling in stroke populations. You will help develop scalable biomechanical assessment systems for clinical and research use.

Join a small, interdisciplinary team and collaborate across Europe to advance data-driven rehabilitation solutions, with opportunities for remote work and professional development.