Closing date: 31 July 2016
Subject study: Combined use of natural language processing (NLP), text mining, machine learning and predictive data analytics using SNOMED CT derived clinical narratives to establish better findings from 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.
There will also be additional funds available for research expenses.
How to Apply
Applicants are strongly advised to contact Rhydian Owen or Shang-Ming Zhou regarding information on the area of research, particularly via email ([email protected]/[email protected]).
To apply:
- Complete the KESS II Draft Student Application Form
- Complete the KESS Supplementary Application Form
- You will also need to provide copies of the following documentation:
- Degree certificates
- References
- CV
- English language certificate (if required)
Please return both application forms and supporting documentation to the KESS office at the address stated on the KESS application form or email Jane Kelly ([email protected]/01792 513565) or Jane Phipps ([email protected]/01792 513729).
For all other queries please contact the KESS office contacts mentioned above.
The deadline for applications is 4pm on Tuesday 31st May 2016.
For more information, please visit:
http://www.swansea.ac.uk/postgraduate/scholarships/research/life-sciences-health-phd-combined-use-natural-language-processing.php
