Job offer in england Predictive Medical Data Analytics For Clinical and Operational Intelligence at University of Reading

University of Reading – Business Informatics Systems & Accounting

Project title:  Predictive medical data analytics for clinical and operational intelligence

Department/School: Business Informatics Systems & Accounting

Supervisors:  Dr Weizi Vicky Li and Prof Keiichi Nakata, Informatics Research Centre, University of Reading; Eghosa Bazuaye, Associate Director of Informatics, Royal Berkshire NHS Foundation Trust

Project Overview

Big data mining holds great potential for the healthcare industry to enable health systems to systematically use data and analytics to identify inefficiencies and best practices that improve care and reduce costs. Applicants are invited to undertake a full PhD studentship to address key challenges in predictive data analytics from electronic patient record and various data sources. The project aims to analyse enormous data sets and develop predictive analytics methods, to generate new knowledge improve NHS’s ability to anticipate and treat illnesses.

This PhD studentship is built on partnership between University of Reading and Royal Berkshire NHS Foundation Trust. This is an exciting project combining academic and industrial challenges and enhancing the student’s ability to tackle complex intellectual and practical aspects of healthcare data and contribute to the application in real predictive clinical decision support. This is an excellent opportunity to work on a novel medical knowledge base and data analytics methods with strong links to medical and healthcare applications and key skills and knowledge in preparation for a high-impact, high-technology research or industrial career.


We are seeking talented candidates with:

  • Master’s degree (or a 2:1 Bachelor Degree) in areas of data analytics/data, science/health informatics/computer science
  • Experience and confidence in statistics, data mining, analytics and report development
  • Experience in database management, data warehouse, information and knowledge fusion and relevant software environment will be an advantage
  • Experience and medical knowledge or background would be an advantage
  • Fluent English speaking & strong academic writing skills (e.g. IELTS 7 or TOEFL 100 above )
  • Ability and a track record of academic journal publication are desirable
  • Candidates should have an autonomous and proactive working style, good communication skills and the ability to work in a team

Funding Details

  • Starts September/October 2017
  • 3 year award 
  • Tuition fees plus stipend
  • Full-time
  • Open to UK, EU and International students

How to apply:   

To apply for this studentship please submit an application for a PhD in Informatics and System Science at 

*Important note* Please quote the reference ‘GS17-099’ in the ‘Scholarships applied for’ box in the Funding Section of your application.

In addition we would also like you to send a sample of your written work. This might be a published conference or journal paper, or a chapter of your final year dissertation.

Application deadline:

21st July 2017

Further Enquiries:

Informal enquiries can be emailed to Dr Weizi Vicky Li ( and Bazuaye Eghosa (

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