EU/UK 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.
Scholarships are collaborative awards with external partners including SMEs and micro companies, as well as public and third sector organisations. The scholarship provides 3 years of funding with a 6 month period to complete the thesis. The achievement of a postgraduate skills development award (PSDA) is compulsory for each KESS 2 scholar and is based on a 60 credit award.
Eligibility
This PhD Scholarship is offered for UK or EU applicants.
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 (http://www.swansea.ac.uk/media/Guidance - Participant Proposal Swansea version 2.docx).
There will also be additional funds available for research expenses.
You will be supervised by Professor Ronan Lyons, Dr Shang-Ming Zhou and Mr Phil Davies.
Applicants are strongly advised to contact Shang-Ming Zhou (s.zhou-AT-swansea.ac.uk) 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...