This project will explore:

• BCI in Real-Life Contexts: How does the control of an SSVEP-based BCI system integrate into a typical workday? How stable or flexible is BCI control over extended periods?
• Sound Perception: How does the presence of realistic soundscapes (background sounds mimicking natural office or home environments) influence neural responses and BCI performance?
• Long-Term EEG Monitoring: We will record participants over extended sessions using ear-EEG while they work on a computer in the presence of a carefully designed soundscape.

Your Role as Master Student

As part of this project, you will:

•  Set up the experimental paradigm (including both the BCI component and the soundscape environment)
• Conduct EEG data acquisition over long time spans (ear-EEG recordings)
• Analyze EEG data, with flexible focus:

 You can choose to concentrate on the 

• ongoing EEG signals (resting-state, oscillatory activity),
• Investigate neural responses to the soundscape, or
• Focus on analyzing the BCI control signal and its temporal dynamics.

What We Offer

•  Access to cutting-edge BCI technology and ear-EEG equipment
• A well-prepared experimental framework with room for your own contributions and ideas
• Supervision and support from an experienced interdisciplinary team (neuroscience, cognitive science, engineering)
• A chance to contribute to applied BCI research with real-world relevance

What We Are Looking For

•  Interest in neurotechnology, EEG, auditory perception, and/or BCI systems
• Basic experience with EEG data handling and/or programming (Python, MATLAB, or similar)
• Motivation to work independently and reliably on experimental setups and data analysis

If you are excited about combining brain-computer interface research with the challenges of real-world environments, we would love to hear from you!