About this role
PhD Candidate in NeuroAI for Auditory Neuroscience Welcome to Maastricht University! How does the human brain transform complex natural sounds into meaningful percepts, and can artificial neural networks help us understand this process? Join the NASCE project and combine advanced neuroimaging with AI to investigate the computational principles of real-world hearing. PhD Candidate in NeuroAI for Auditory Neuroscience - Our goal: Understand how the human brain recognizes and interprets complex natural auditory scenes and to uncover computational principles shared by biological and artificial systems. The PhD project is part of NASCE (Natural Auditory SCEnes in Humans and Machines), an ERC Synergy project conducted in collaboration with Dr. Bruno Giordano (CNRS, Marseille). NASCE brings together cognitive neuroscience, advanced neuroimaging, behavioural research, and artificial intelligence to investigate natural sound perception in humans and machines. - Your colleagues: You will join the AuditoRy Cognition in Humans and MachInEs (ARCHIE) lab , an interdisciplinary and international research team led by Prof. Elia Formisano at the Faculty of Psychology and Neuroscience, Maastricht University. You will work closely with researchers with complementary expertise in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI) acquired during natural sound perception and use state-of-the-art AI models to investigate how the human brain transforms acoustic information into meaningful representations. By comparing representations in the brain and artificial neural networks, you will contribute to a better understanding of the computational principles underlying auditory intelligence in humans and machines. What you do As a PhD candidate, you will: - Acquire and analyse human neuroimaging data, with a primar...