Research Fellow in AI Methods Applied to Health Records

About Us

The School of Neuroscience at King’s College London is the second largest university neuroscience department in the UK, with approximately 100 faculty and a total of 600 staff and students.

The School holds approximately £220 million in currently-active research grants, and, out of all universities globally, has the 4th highest number of highly-cited publications in neuroscience (source: SciVal 2022).

The regional Neurology and Neurosurgery service is located in King’s College Hospital on the same campus, and, including stroke and neurorehabilitation, has approximately 200 inpatient beds, making it one of the largest and busiest such centres in the UK. King’s College Hospital is home to the largest EEG department in the UK and one of the busiest epilepsy specialist services.

About The Role

This exciting research role will be responsible for continuing the successful delivery and future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular.

They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential, as is the ability and knowledge to help develop new methods.

The postholder will also supervise a junior researcher. This is a full-time post (35 hours per week) and you will be offered an a fixed term contract until 28 February 2026.

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