Marco Fato

PhD opportunity in Bioengineering at DIBRIS, Università degli Studi di Genova , focused on neuromorphic engineering , neuroscience , computer science , and multimodal brain-data modeling. The project is titled “Building Neuromorphic Brain Twins from Imaging and Electrophysiological Data to Test Electroceutical Strategies.” It aims to develop a biologically grounded in silico dynamical model of the brain that can simulate and optimize neurostimulation-based therapeutic strategies for recovery after stroke and traumatic brain injury . Research activities include integration of high-resolution structural and functional MRI , high-density electrophysiological recordings from rodent models, neural signal analysis, MRI-derived connectivity, behavioral and kinematic features, and computational/neuromorphic modeling. The final goal is to build a platform for simulating, personalizing, and optimizing electroceutical interventions . Eligible backgrounds include bioengineering , neuroscience , computer science , or related fields. Strong programming skills in Python and Matlab are essential. Experience with electrophysiological data analysis, imaging data analysis, modeling, neuromorphic engineering, machine learning, or real-time computing is a plus. Supervisor/tutor: Prof. Marco Fato (Università degli Studi di Genova). Contact: [email protected] . No deadline, funding details, or application portal are specified in the post.