[Corpora-List] EU/UK PhD Scholarship in Healthcare Text Mining and Machine Learning, Swansea University, UK

Zhou S. s.zhou at swansea.ac.uk
Tue Apr 19 16:34:03 CEST 2016


Dear Friends and Colleagues

We have a PhD studentship for EU applicants in healthcare text mining and machine learning using clinical narratives and electronic health records.

Could you please help circulate it to your students who may find it interesting?

Many thanks for the help

Best wishes

Shangming Zhou **************************************************************** EU/UK PhD Scholarship in Healthcare Text Mining and Machine Learning, Swansea University, UK

http://www.swansea.ac.uk/postgraduate/scholarships/research/life-sciences-health-phd-combined-use-natural-language-processing.php

Closing date: 31 July 2016

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<file:///E:\Zhou1\!Supervision\PhD_studentships\2016_KESS_Studentships\Advert\KESS%202%20participant%20proposal%20form> (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 and Dr Shang-Ming Zhou.

Applicants are strongly advised to contact Shang-Ming Zhou (s.zhou at swansea.ac.uk<mailto:s.zhou at swansea.ac.uk>) or Rhydian Owen (r.h.owen at swansea.ac.uk<mailto:r.h.owen at swansea.ac.uk>) regarding information on the area of research.

How to Apply

To apply:

1. Complete the KESS II Draft Student Application Form<http://www.swansea.ac.uk/media/KESS%20II%20Draft%20Student%20application%20form%20Swansea%202015-16.docx> (http://www.swansea.ac.uk/media/KESS II Draft Student application form Swansea 2015-16.docx)

1. Complete the KESS Supplementary Application Form<http://www.swansea.ac.uk/media/KESS%20Sup%20Form%202016.doc> (http://www.swansea.ac.uk/media/KESS Sup Form 2016.doc<http://www.swansea.ac.uk/media/KESS%20Sup%20Form%202016.doc>)

1. 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 (j.kelly at swansea.ac.uk<mailto:j.kelly at swansea.ac.uk>/01792 513565) or Jane Phipps (e.j.phipps at swansea.ac.uk<mailto:e.j.phipps at swansea.ac.uk>/01792 513729).

For all other queries please contact the KESS office contacts mentioned above.

The deadline for applications is Tuesday 31st July 2016.

For more information, please visit: http://www.swansea.ac.uk/postgraduate/scholarships/research/life-sciences-health-phd-combined-use-natural-language-processing.php

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