Do you want to apply data science methods to analyse healthcare staff and patient narratives concerning experiences in healthcare systems?  Do you want to pioneer innovative new approaches to understanding quality and safety in healthcare?  Do you want to develop AI-based patient safety intelligence solutions to support policy-makers and providers as they shape future healthcare systems?  If so, this studentship opportunity will appeal to you.

The NIHR Yorkshire and Humber Patient Safety Research Collaborative (PSRC) is inviting applications for a full-time PhD studentship, to start in 2024, as part of its interdisciplinary Safety Intelligence work stream. This research studentship seeks to bring together data science and safety science, with the aim of enhancing patient safety intelligence in healthcare, based upon automated mining of large qualitative datasets generated by staff and patients. The studentship will appeal to candidates from a range of backgrounds with specific interest in application of AI/machine learning methods for automated language analysis of free text (e.g. sentiment analysis; natural language processing using large & small language models, topic modelling, and similar). It may additionally appeal to candidates with a background in qualitative methods who are interested in extending qualitative approaches using quantitative methods.