24 October: FYI -- PhD funding (UK)

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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/researchthemes/patientpopulationhealthandinformatics/ehealth-and-informatics-research/thefarrinstitutecipher/

You will be supervised by Professor Ronan Lyons, Dr Shang-Ming Zhou and Mr
Phil Davies.



*The successful candidate is expected to start the PhD scholarship in
January 2018.*



Scholarships are collaborative awards with external partners including
SME’s 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 II scholar and is
based on a 60 credit award.
Eligibility



This PhD Scholarship is offered for UK or EU applicants, or applicants with
Indefinite Leave to Remain in the UK.



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.
Funding



The studentship covers the full cost of UK/EU tuition fees, plus a stipend.
The bursary will be limited to a maximum of £14,198 p.a. dependent upon the
applicant's financial circumstances as assessed in section C point 4
on the *KESS
II participant proposal form*




There will also be additional funds available for research expenses.
How to Apply

Applicants are strongly advised to contact Dr Shang-Ming Zhou regarding
information on the area of research, by email or by telephone: (
s.zhou@swansea.ac.uk / +44 (0)1792 602580).

Please go to the link below to submit the application:

http://www.swansea.ac.uk/postgraduate/scholarships/research/health-informatics-kess-phd-healthcare-data-analytics.php

For any other queries, please contact: KESSstudentenquiries@swansea.ac.uk
Closing Date:



Applicants should apply for this scholarship as soon as possible.

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