PhD in NeuroAI and Computational Neuroscience

PhD in NeuroAI and Computational Neuroscience

Applications are invited for a PhD studentship in the Bennett lab to work at the intersection of neurobiologically inspired machine learning and computational neuroscience. The successful candidate will join an active and enthusiastic research environment at the University of Sussex, where we take a multidisciplinary approach to machine learning, neuroscience, and adaptive behaviour. You will have the opportunity to contribute to one of two ongoing research directions in the Bennett lab, described below.

NeuroAI approaches to efficient deep learning

This project investigates how principles from biological neural circuits can inform the design of more efficient and robust deep neural networks. A particular focus is placed on the computational role of balanced excitatory and inhibitory neural circuits in shaping representations in deep learning, and may be extended to efficient AI architectures with spiking neural networks and event-based learning. This project is well suited to applicants interested in deep learning, neural computation, and neuromorphic or energy-efficient AI.

NeuroAI approaches to continual reinforcement learning

This project explores how agents learn continuously in changing and uncertain environments, with the goal of connecting reinforcement learning frameworks to dopaminergic circuits in the brain, as well as integrating neurobiological phenomena into reinforcement learning algorithms to support adaptive behaviour in continual learning problems. A major part of this project will entail relating models to, and drawing inspiration from, experimental findings in model organisms such as Drosophila melanogaster. This project is ideal for applicants interested in reinforcement learning, computational neuroscience, and biologically grounded adaptive learning.

Who are we looking for

The successful candidate will be an experienced programmer with a strong mathematical grounding, having completed an undergraduate or master’s degree in a relevant discipline such as Computer Science, Physics, Mathematics, or Engineering, with a demonstrable interest in artificial intelligence and neuroscience. Candidates with a degree in Neuroscience or Psychology subject areas, with demonstrable experience with mathematical and computational modelling, are also encouraged to apply. We value students from any background, so long as you are self-driven, highly curious, and have a passion for creative and intellectual thinking.

What can we offer you

The Bennett lab is part of the Sussex AI and Sussex Neuroscience Centres of Excellence, which are borne from a rich history of multidisciplinary research in natural and artificial intelligence at the University of Sussex. We foster a supportive and inclusive environment for curious and enthusiastic minds to thrive. We collaborate locally with several teams working in the areas of bio-inspired AI and neuroscience, as well as with other research groups throughout the UK and internationally. You will be encouraged to communicate your work in highly respected journals and at international conferences, and to capitalise on a range of professional development opportunities at the University. Outside of work, we often get together to enjoy Brighton’s vibrant city life, or the beautiful South Downs National Park that surrounds Brighton, while London is only one hour away by train.

How to Apply

Prospective applicants are encouraged to get in touch with an expression of interest, including a CV and a brief statement outlining your research interests, motivation, and how you will contribute to the Bennett lab’s research ambitions.

Advert information