MSCA Doctoral Network: Computational Modelling of Neonatal Brain Connectivity Using Multimodal MRI

This PhD position is part of the VISIONBRAIN MSCA Doctoral Network, which trains researchers to develop advanced in vitro and in silico tools for studying brain disorders. The project focuses on modelling brain connectivity in newborns using multimodal MRI data. It aims to understand how brain regions connect and communicate during development, combining structural and functional connectivity with computational modelling. The research will involve: • analysing neonatal and adult MRI datasets • developing computational models of whole-brain dynamics • integrating structural and functional brain networks • applying network theory and mathematical modelling • studying neurodevelopmental conditions such as autism and ADHD The project uses a large dataset of approximately 1000 infants, including clinical subgroups. The role includes: • completing a PhD thesis • secondments (3–6 months) with partner institutions • participation in international training and workshops

Upper second-class bachelor’s degree or higher in psychology, neuroscience, biomedical sciences, mathematics, physics, engineering or related discipline. Experience with neuroscience and neuroimaging methods (diffusion/functional MRI and/or EEG). Competency in statistics and programming (Python, R, MATLAB). Eligibility to enroll in a doctoral program at King’s College London. Must meet MSCA Doctoral Network eligibility (no prior PhD, mobility rules).

Applicants must meet MSCA DN eligibility criteria at recruitment. Apply via the King’s College London careers portal before the closing date. Provide transcripts, CV, and supporting documents as per MSCA and university application guidelines. Ensure compliance with mobility and doctoral enrollment requirements.