The PhD candidate will join the ALPACA project (Accessible Low-Burden Assessment of Cortical Activity for Implanted BCI Candidacy in Quadriplegic Cerebral Palsy), an innovative initiative aimed at expanding access to implanted Brain-Computer Interfaces (iBCIs) for people with quadriplegic Cerebral Palsy (quadCP). Although the field of iBCIs is advancing rapidly, individuals with quadCP are often overlooked due to unverified assumptions about their ability to generate usable brain signals. ALPACA seeks to address this gap by developing and validating a non-invasive, easy-to-use EEG-based assessment tool to determine iBCI eligibility. The PhD candidate will acquire and analyze scalp electroencephalography (EEG) and 3 Tesla functional magnetic resonance imaging (fMRI) data from both healthy controls and individuals with Cerebral Palsy (CP), with the goal of gaining insight into the relationship between EEG and fMRI signals and identifying the most informative EEG features for predicting fMRI activity patterns. These findings will inform the development of a validated EEG protocol, analysis pipeline, and eligibility criteria for iBCI control, which will be integrated into a standalone software package suitable for broad application in research and clinical iBCI evaluations.