Research Assistant,

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!

Aufgaben

• Co-design and implement a VR testbed for FOG triggering, including the design and standardization of virtual scenarios (e.g., turning triggers, visual underload, and dual-task paradigms).
• Collaborate with clinicians to test and validate scenarios in clinical settings.
• Use biomarkers for FOG phenotyping by collecting and analyzing oculography, muscle activity (EMG), and motion data during VR-triggered FOG assessments.
• Integrate VR, oculography, EMG, and motion capture into a unified clinical assessment tool.

Anforderungen

• Excellent Bachelor's or Master's degree (or equivalent) in Computer Science, Biomedical Engineering, or a closely related field.
• Strong programming skills in C#, Unity, and Python.
• Demonstrated experience in recording and analyzing multimodal sensor data.
• Strong written and verbal communication skills, with the ability to convey complex information clearly to both - expert and non-expert audiences.
• Excellent English communication skills; proficiency in German is an advantage.
• Prior experience in neuroscience, clinical research, and patient interaction is a plus.
• Strong analytical and problem-solving skills, combined with scientific rigor and intellectual curiosity to uncover meaningful insights.
• Creative, self-motivated, and able to thrive in a highly collaborative and interdisciplinary environment.