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ALLSTAT  February 2016

ALLSTAT February 2016

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Subject:

PhD Scholarship for Statistical Mddelling of Health Management Using Big Data

From:

xin shi <[log in to unmask]>

Reply-To:

xin shi <[log in to unmask]>

Date:

Fri, 5 Feb 2016 09:56:31 +0000

Content-Type:

text/plain

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Manchester Metropolitan University has £2.5 million available for PhD scholarships to support the most talented and ambitious new researchers across a wide range of specialist subjects. Our 12 University Research Centres focus on areas of excellence and quality as independently confirmed by the REF 2014.
 
We are looking for high quality PhD candidates to help us deliver outstanding research that addresses some of the biggest challenges facing contemporary society.
 
Competition Timeline
 •Submit your application by 9am on the 21 March
 •Interviews with be held between Tuesday 29 March and Thursday 7 April
 •The University Review panel will take place on the week commencing 25 April
 •Applicants will be informed of their Scholarship application outcome by 31 May
 
All applicants should please read the PhD scholarship competition 2016 guidance notes for detailed advice and instructions on how to apply for Manchester Met PhD scholarship.


Project Title: Health Management Analytics and Risk Assessment Modelling Using Big Data

Project summary
 
Good health is sessential to indicate well-being of entreprise, human being and society. It is well known that health of those publics are related to its behaviour, status and envrionment. It is important to study these factors and their relationships using Big Data for risk factors monitoring, prognostics and intervention.
 
Project aims and objectives

The proposed research aims to develop statistical methods to analysis the health risk factors and its relationship with the well-beings of human population, enterprise or society in order to provide theoretical support for decision-making on health intervention, prognostics and prevention. The detailed research objectives/questions are:
 •To develop health prediction models based on health related secondary databases for either enterprise, or human beings or society (FAME, BHPS, CPRD).
 •To analyse the correlation and interaction among the key risk factors such as behaviour, environment, polices and their impacts on health.
 •To develop health risk assessment models based on the outputs of the health prediction models.
 •To determine the key risk factors affecting the health progression and future adverse events.
 •To develop health surveillance models and algorithms for detecting abnormal change in health indicators.
 
The supervision teams contains Statistician, Dr Xin Shi; Professor in OR, Wenbin Wang.
 

The above findings and citations are extracted from - Nudurupati, S. S., 2014. Contemporary performance measurement and management in digital economies. Grant final report, New Economic Models in the Digital Economy Funding, Research Councils UK.
 
Specific requirements of the project

Qualifications:
 
First degree related to statistics, economics, mathematics, management science or operational research subjects; or Master degree in those subjects.
 
Skills and knowledge:
 1.Numerical skills and knowledge is compulsory.
 2.Statistical computing program skills, such as R is essential.
 3.Advanced computing science, such as Hadoop is desirable.
 
Experience:
 
Understanding the procedure of the research project on applied statistics/operational research is essential.
 
The experience of research on health/medicine related would be desirable.
 
Student eligibility

UK and EU students
 

Supervisory Team
 
Informal enquiries can be made to:
 
Dr Xin Shi
Tel: +44 (0)161 247 3841
Email: [log in to unmask]
 
Prof Wenbin Wang
Email: [log in to unmask]
 

How to apply
 
Please quote the studentship reference: XS-2016-01.
 
Applications should be completed using the Postgraduate Research Degree Application Form.
 
Application Form should be emailed to: [log in to unmask]

Guidance Notes for PhD 2016 Competition Scholarships
 
PLEASE NOTE that Section 9 of the application should be used to write a personal statement outlining your suitability for the study, what you hope to achieve from the PhD and your research experience to date.

Closing date

21 March 2016 (9am)

 
Interviews

4-6 April 2016

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