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PhD Studentship - Designing a Pervasive Framework for Improving Medical Data Explainability and Interoperability

Bournemouth University - Faculty of Science and Technology

Qualification Type: PhD
Location: Bournemouth
Funding for: UK Students, EU Students, International Students
Funding amount: £15,225 Maintenance grant per annum
Hours: Full Time
Placed On: 13th March 2020
Closes: 11th May 2020

Lead Supervisor name: Dr. Nan Jiang

Project description:

The rapid advances in the field of AI (Artificial Intelligence) in recent years have seen its latest expansion to the healthcare domain generating enormous passions and interests from both the industry and the academia. AI in healthcare explores the use of complex machine learning algorithms to emulate human cognitive functions in the healthcare practices. In this domain, one of the newest areas is the use of AI in interpreting medical imaging data to assist in diagnosis. Although high accuracy has been reported in several cases, a major concern over such AI implementation is the so-called “black box” problems where the machine learning algorithm used in the AI system only delivers the results without telling why and how the process was done. In other words, as the machine learning algorithms are not designed with good explainability by nature, the corresponding algorithmic process of the AI system is not transparent enough to its end users leading to trust issues. There are currently several approaches to address this issue and this project aims to design a pervasive analysis and prediction framework for improving medical data explainability and interoperability.

What does the funded studentship include?

Funded candidates will receive a maintenance grant of £15,225 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.

Funded Studentships are open to both UK/EU and International students unless otherwise specified.

Eligibility criteria

Candidates for a PhD Studentship should demonstrate outstanding qualities and be motivated to complete a PhD in 4 years and must demonstrate:

  • Outstanding academic potential as measured normally by either a 1st class honours degree (or equivalent Grade Point Average (GPA) or a Master’s degree with distinction or equivalent
  • An IELTS (Academic) score of 6.5 minimum (with a minimum 6.0 in each component, or equivalent) for candidates for whom English is not their first language and this must be evidenced at point of application.

The candidate must have good programming skills and experience in using statistical and analytical tools such as Matlab, R and Python etc.

The candidate must be able to take necessary research related travels.

In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.

Closing date: The first call for applications will close on 11 May 2020.

For further information on how to apply click the ‘Apply’ button below or email

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