Health informatics, machine learning, text analytics, natural language
processing, public health, epidemiology
Healthcare systems have collected mountains of textual and numeric patient
records about disease activities, hospital admissions and visits, drug
prescriptions, physician notes and more. But medical research and related
industries like pharmaceutical industry are facing with enormous challenges
as a result of the very restrictive handling of such health data.
This PhD studentship offers an exciting opportunity of exploring and /or
developing machine learning, natural language processing, text analytics
techniques to extract valuable knowledge from SNOMED CT derived clinical
narratives. Such knowledge will enable better care, prognosis of patients,
promotion of clinical and research initiatives, fewer medical errors and
lower costs, and thus a better patient life.
This project will involve industrial collaboration with the Clinithink Ltd.
You will has the chance of working in a very dynamic academic research
environments offered by the world class UK Farr Institute of Health
Informatics Research (http://www.farrinstitute.org/). We make up one part
of this Institute ? CIPHER (The Centre for Improvement in Population Health
through E-records Research) http://www.swansea.ac.uk/medicine/research/
Applicants should have a minimum of a 2.1 undergraduate degree and/or a
master’s degree (or equivalent qualification) in the Computer science,
Computational linguistics, Computing, Data science, Statistics,
Epidemiology, Health informatics, Medical Informatics, Bioinformatics, or
any areas related.
This PhD Scholarship is offered for UK or EU applicants, or applicants with
Indefinite Leave to Remain in the UK.
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying