A fully funded PhD position in Computational Neuroscience is available at the University of Cyprus in collaboration with the University of Surrey (UK), titled “Brain Neuronal Networks Development via Multiscale Agent-based Modelling”. The project aims to model and emulate biological neural networks (NNs) development from a single precursor cell using a computational approach. By leveraging developmental rules encoded in a gene-type manner, the project seeks to reproduce neural complexities found in nature. The computational modelling will utilize data from experimental studies and synthetic, simulated data to inform realistic NNs structurally and functionally. Innovative machine learning techniques will be employed to match in-silico NNs with specific organisms, starting with synthetically generated NNs and increasing biological correspondence iteratively. The project will use the agent-based modelling software BioDynaMo, an open-source software actively developed for almost a decade. This builds on previous work of the supervisory team, including the simulation of a spatially embedded, functional, and biologically realistic neural network that self-organized from a single precursor cell.