PhD Scholarship in Healthcare Machine Learning and Text Mining, Swansea University

Subject study: Combined use of natural language processing (NLP), text mining, machine learning and predictive data analytics to establish data-driven insights into diseases from SNOMED CT derived clinical narratives and electronic health records.
Eligibility
This PhD Scholarship is offered for UK or EU applicants, or applicants with Indefinite Leave to Remain in the UK.
Funding
The PhD studentship covers the full cost of UK/EU tuition fees, plus a stipend. The bursary will be limited to a maximum of £14,002 p.a. dependent upon the applicant's financial circumstances as assessed in section C point 4 in the KESS 2 participant proposal form ( Please copy and paste the whole link into your browser:
http://www.swansea.ac.uk/media/Guidance - Participant Proposal Swansea version 2.docx).
There will also be additional funds available for research expenses.
Applicants working or studying in the areas below are particularly welcome to apply.
? Computer science
? Computing
? Data science
? Computational linguistics
? Statistics
? Health informatics
? Medical Informatics
? Bioinformatics
? Any areas related to above
Applicants are strongly advised to contact Shang-Ming Zhou (s.zhou-AT-swansea.ac.uk/ 01792602580) or Rhydian Owen (r.h.owen-AT-swansea.ac.uk) regarding information on the area of research.
How to Apply
Please visit:
http://www.swansea.ac.uk/postgraduate/scholarships...