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. What you get For 3.5 years, you will receive a tax-free stipend at a standard rate of £21,805 per year and your fees will be waived (at the UK or International rate). In addition, to a one-off Research and Training Support Grant of £2,000. Type of award Postgraduate Research PhD project 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. Eligibility This studentship is available to UK and Overseas applicants. Eligible candidates will normally have an upper second-class (2:1) undergraduate honours degree (or equivalent qualification) in a related field. The University of Sussex believes that the diversity of its staff and student community is fundamental to creative thinking, pedagogic innovation, intellectual challenge, and the interdisciplinary approach to research and learning. We celebrate and promote diversity, equality and inclusion amongst our staff and students. As such, we welcome applicants from all backgrounds. Number of scholarships available 1 Deadline 12 June 2026 23:45 How to apply Apply online for a full time PhD in Informatics [Starting in September 2026] using our step-by-step guide. Please ensure you application includes each of the following: A research proposal. Your CV. Degree certificates and transcripts. 2 references, including a minimum of 1 from any institution studied at within the last 5 years. If your first language is not English you will need to demonstrate that you meet the University’s English language requirements. Please clearly state on your application that you are applying for the PhD in NeuroAI and Computational Neuroscience studentship under the supervision of James Bennett. Contact us If you have practical questions about the progress of your on-line application, contact FoSEM-PGR@sussex.ac.uk For academic questions please contact James.Bennett@sussex.ac.uk