PhD Candidate for Numerical and Computational Analysis for Mathematical Neuroscience

Do you have a passion for numerical methods? And do you want to make an impact in a novel application for the neurosciences? As a PhD Candidate, you will work on a project that intersects mathematical neuroscience and computational mathematics with fellow researchers from Radboud University and VU Amsterdam.

This project lies at the intersection of mathematical neuroscience and computational mathematics. We will analyse and implement numerical methods for spatio-temporal patterns in a novel class of neural field models with stochastic forcing and relate neural models to data from Prof. Battaglia's group in the Donders Institute.

You will be supervised by Prof. Gabriel Lord at Radboud University and we will collaborate closely with Dr Daniele Avitabile at VU Amsterdam. The ideal candidate for this project has a passion for numerical methods (numerical analysis, stochastics and scientific computing) and is keen to make an impact in a novel application for the neurosciences. Previous knowledge of neuroscience or stochastic simulation are not a prerequisite, but an interest in learning about these areas is essential.

As a PhD candidate, you will also have some limited teaching duties (10%). This entails serving as a teaching assistant in Bachelor's and Master's courses during the first three years. You will be free from teaching duties in the final fourth year.

Women and other under represented PhD candidates are especially encouraged to apply as we strive for equal representation.