In our transdisciplinary research project, we investigate the fundamentals of neurofeedback learning and its application to the clinical use case of tinnitus. Neurofeedback is being intensively researched in different clinical and non-clinical domains (e.g. tinnitus, ADHD, anxiety disorders, cognitive performance optimization). So far there is very limited scientific knowledge about the effects of the feedback design on the effectiveness of neurofeedback training. In this transdisciplinary research project, scientists from different fields of research (medicine, neurosciences, psychology, design research, human-computer interaction) investigate how visual, auditory, and/or multimodal feedback should be designed so that individuals can derive the best possible benefit from neurofeedback.
Our research consortium consists of the Department of Otorhinolaryngology at the University Hospital of Zürich (project lead), the EPFL+ECAL Design Research Centre in Lausanne, the Department of Psychology of the University of Fribourg, the Institute for New Work/Business school of the University of Arts for Applied Sciences in Bern, the Institute of Bioengineering and Medical Image Processing Lab of EPFL and University of Geneva, and the Center for Cognitive Neuroscience of the University of Salzburg. Furthermore, an EEG industry partner complements the consortium.
- ● Neurofeedback system hardware and software development (EEG System, Python/Matlab)
- ● Development of novel neurofeedback protocols including neural targets derived by machine learning
- ● Implementation of stimuli and feedback settings developed by the design, psychology and HCI project partners
- ● Implementation and conduct of clinical feasibility study
- ● Data analysis, systems evaluation, and publication
- ● A master’s degree in (biomedical) engineering, computer science, neuroscience, neuropsychology or related fields
- ● Background in signal processing and programming (Python, Matlab, and/or other relevant languages)
- ● Background in systems engineering and electrophysiology of advantage
- ● Background in machine learning of advantage
- ● Fluent in English, preferably good knowledge of German
- ● Intellectual and personal mobility
- ● Self-reliant work style and high self motivation
- ● Experience with research, lab work, and study management of advantage
- ● Willingness to work in a transdisciplinary, international, and diverse research consortium
Candidates will join the doctoral program of the Neuroscience Center Zurich (ZNZ; a joint competence center of ETH and UZH Zurich) and profit from the excellent (inter)national research networks of the consortium. The research output is aimed at technical/engineering fields and human (clinical) neuroscience.
Starting date: 01 October 2022 Duration: 4 years.
Deadline: 20th of June, or until position is filled
For application, please send a motivation letter, a recommendation letter, and a CV per email to:
Prof. Dr. med. Tobias Kleinjung, Faculty of Medicine/ZNZ