Research Fellow in Natural Language Processing 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 the successful delivery and future development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. 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 in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity with current methods in this area is essential, as is the ability and knowledge to help develop new methods. The postholder will be working within a team of three at King’s College London that is working collaboratively with another research team at Swansea University 

This is a full-time post (35 hours per week) and you will be offered a fixed-term contract until 30th April 2027 with the possibility of a further extension.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience: 

Essential criteria

• PhD qualified in relevant subject area or equivalent professional experience
• Familiarity and experience with NLP methods and especially LLMs, evidenced by publications and/or dissertation or equivalent evidence of expertise and completed research outputs
• Proven ability to write code in Python
• Experience working in a research team
• Excellent writing and communication skills, especially for academic papers

Desirable criteria

• Experience working with NHS data or other medical data
•  Understanding of and experience working with digital neural networks
•  Experience working collaboratively within a multidisciplinary research team
• Demonstrable career trajectory in AI Health

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click the “Apply” button, above. This document will provide information on what criteria will be assessed at each stage of the recruitment process.

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. 

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

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