The selected candidates will participate in a two-year research project exploring the decoding of inner speech using multimodal EEG and fMRI data. Responsibilities include analyzing unique bimodal datasets to study the temporal and spatial aspects of inner speech and applying cutting-edge machine learning techniques.
