Job Description
Within the DIZH-funded collaboration “HoloTeach” engineers, neuroscientists, and clinicians from UZH, and ZHAW together with clinical and industrial partners, will jointly develop a next-generation virtual reality (VR) mobile seat rehabilitation system.
Your responsibilities
- Co-design and implement adaptive difficulty algorithms with other PhD students
- Work with neuroscientists and clinicians to translate motor learning principles into algorithmic and protocol developments
- Integrate and enhance speech- and icon-based control pathways within the VR environment according to pa-tient and therapist needs
- Plan, recruit and conduct laboratory and feasibility studies on trunk control rehabilitation using the mobile-seat VR system, within the iterative development cycles
- Perform sensor-based measurements and multimodal data processing and analysis
- Present findings in peer-reviewed scientific journals and at national and international conferences
Your profile
- Very good Master’s degree (or equivalent) in computer science, life science, biomedical engineering, neuroscience, movement science, or a closely related field
- Strong programming skills (C#, Unity, Python) and interest in real-time algorithm development
- Demonstrated experience in recording and analyzing multimodal sensor data
- Solid understanding of motor learning theories and clinical stroke rehabilitation practices, or a strong willing-ness to acquire this knowledge and competence
- Strong written and oral communication and the ability to clearly convey information to experts and non-experts both within and outside the group
- Excellent English communication skills; proficiency in German is an advantage
- Prior experience with clinical research and patient interaction is a plus
- Strong analytical and problem-solving skills paired with scientific rigor and curiosity to go beyond the obvious and uncover meaningful insights.
- Creative, self-motivated and able to work in a highly collaborative, interdisciplinary environment
