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Automatic data fusion and analytics with application in the national health system

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  • Full or part time
    Dr Y Zeng
    Dr Y Chen
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

PhD Fully-Funded Studentship
School of Computing and Digital Technologies
Teesside University and Medicor Software Limited

This PhD studentship opportunity is offered through the Intensive Industrial Innovation Programme (IIIP). The IIIP Programme is a collaboration between Northumbria, Durham, Newcastle and Teesside Universities, receiving up to £2,202,411 of funding from the England European Regional Development Fund (ERDF) as part of the European Structural and Investment Funds Growth Programme 2014-2020. The Ministry of Housing, Communities and Local Government is the Managing Authority for ERDF. Established by the European Union, ERDF funds help local areas stimulate their economic development by investing in projects which will support innovation, businesses, create jobs and local community regenerations. For more information visit https://www.gov.uk/european-growth-funding

PhD topic: Automatic data fusion and analytics with application in the national health system

Project Outline


The data accumulated through more than half century’s running of NHS is regarded as the key for understanding the current planning and operation and the starting point of possible improvement. The aim of this project is to develop a framework containing intelligent data fusion and analytics technologies to investigate the operational bottleneck of NHS and provide effective improvements. Concretely, based on recent AI advances, (semi)-automated data cleaning and fusion techniques will be developed to digitalize and extract information from various types of data from multiple sources. The inconsistence of information will be addressed as well. Driven by aggregated data and the experts’ knowledge, a modelling framework will be designed to interoperate the current NHS planning and operation. Techniques for data-driven operational optimization need to be proposed. A simulation platform will be developed to evaluate new techniques. The proposed techniques and developed platform are well fit with Medicor’s core business requirement and contribute to its end users.

Funding and Eligibility


Applications are welcome from strong UK, EU and International students. The studentship covers tuition fees at the Home/EU rate for three years and provides an annual tax-free stipend of £15,000 p.a. for three years, subject to satisfactory progress. Non-EU International students will be required to pay the difference between the Home/EU and International fee rate.

Entry Requirements


Applicants should hold or expect to obtain a relevant degree at 2.1 minimum, or an equivalent overseas degree in Computer Science or a closely related subject. Good programming skills are desired. Candidates with suitable work experience and strong capacity in artificial intelligence and machine learning are particularly welcome to apply.
International students would be subject to the standard entry criteria relating to Tier 4 visa procedures English language ability and ATAS certification.

About Teesside University


Teesside University is delighted to be able to offer a number of part funded industrial PhDs to eligible SMEs in the north east. This project is funded by the University and European Regional Development Funding and looks to support local firms with their research and development needs, developing new products and services in key sectors and creating high quality jobs in the local economy. North East England’s universities are joining forces under a £3.9m scheme, funded by the European Regional Development Fund, to connect the region’s businesses with research to encourage growth and job creation. The Intensive Industrial Innovation Programme (IIIP) will see Durham, Newcastle, Northumbria and Teesside universities work directly with small and medium-sized enterprises (SMEs) in the region to develop new services and products for the market.

The School of Computing and Digital Technologes at Teesside University conducts research on a wide range of topic areas including Computer Science, Artificial Intelligence, Software Engineering, Programming, Cyber-Physical Systems, Computer Games, Animation and Media. In REF 2014, 69.8% of our research outputs in Computer Science and Informatics was recognised as world-leading or internationally excellent. More information - http://www.tees.ac.uk/sections/research/computing/about.cfm

About Medicor


Medicor Software Ltd (www.medicorsoftware.com) was founded by Mark Fletcher and Kris Glover who both have extensive experience delivering consultancy services within the NHS. Medicor Software developed a methodology to measure the performance of clinics against a number of set parameters. Medicor software enables the collection and translation of data to allow visualisation of the “as-is” situation and creation of new service scenarios which will drive productivity and financial improvement.

How to Apply


You can apply online (http://www.tees.ac.uk/sections/research/funding_opps.cfm) for this opportunity; please use the Full Time Funded PhD full time online application form, and select “other” when asked for funding information using code “IIIP0007” to specify the funding route. Applications that do not include this code may not be considered for the funding.

Academic enquiries: Prof Yifeng Zeng ([Email Address Removed]) and Dr Yingke Chen ([Email Address Removed])

Closing Date: 9am on 23 July 2019. We envisage that interviews will take place in early August. The successful applicant will be expected to start the week commencing 7 October 2019.


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