DPhil studentship: Model-based prediction and control of seizure-like events

Develop interpretable data-driven models of seizure-like events in living neural networks and model-based closed-loop multielectrode stimulation, using mouse brain-slice recordings. Supervisor: Thiago B. Burghi. Start October 2027.

First-class or strong 2:1 degree in engineering, computer science, physics or mathematics; excellent written/spoken English. Control/system identification, machine learning, computational neuroscience, programming or real-time hardware experience desirable. Submit Oxford graduate application quoting 27ENGCO_TB.

Home-rate course fees (at least £10,940 per year) and tax-free stipend of at least approximately £21,805 per year for 3.5 years.

Fresh official recruitment evidence reviewed on 26 October 2026. Specific project identity, current application window, research scope, eligibility, funding limitations and application route reviewed together. Funding competition does not guarantee an award for every advertised project.