Funding

Self-funded

Project code

COMP6401025

Department

School of Computing

Start dates

October, February and April

Application deadline

Applications accepted all year round

Applications are invited for a self-funded, 3 year full-time or 6 year part-time PhD project.

The PhD will be based in the School of Computing and will be supervised by Dr Elisavet Andrikopoulou and Dr Matthew Dennis.

The work on this project could involve:

  • Develop a theoretical framework using the realist evaluation method
  • Employ mixed methods: quantitative analysis of current AI risks and qualitative exploration of user’s experience through observation, interviews and prototyping
  • Working closely with external organizations

Context

The project will apply the principles of human-computer interaction and use data-quality standards within a realist evaluation framework to understand what works, for whom and in what circumstances.

The project will begin with a broad risk assessment of the mitigation systems, including systems that employ human oversight, that are implemented on the use of AI in healthcare. The human oversight systems will be explored further via experimentation and exploration with stakeholders to identify whether and in what circumstances the person’s personality affects the AI risk assessment.

The project aims to answer the following overarching questions:

  • What AI risks derive from the personality traits of people using it?
  • How would different people interpret what AI is telling them? 

A secondary aim of the project is to identify, if at all, a computable knowledge artifact that would be able to assist further research on predicting risk behaviors. Computable knowledge unleashes the potential of information technology to generate and deliver relevant health advice to individuals and organizations with great speed on a worldwide scale.

The supervisory team has excellent connections with NICE, NHS and BCS.

Funding

Visit the research subject area page for fees and funding information for this project.

Funding availability: Self-funded PhD students only. 

PhD full-time and part-time courses are eligible for the (conditions apply).

Bench fees

Some PhD projects may include additional fees – known as bench fees – for equipment and other consumables, and these will be added to your standard tuition fee. Speak to the supervisory team during your interview about any additional fees you may have to pay. Please note, bench fees are not eligible for discounts and are non-refundable

Entry requirements

The entry requirements for a PhD or MPhil include an upper second class honours degree or equivalent in a relevant subject or a master's degree in an appropriate subject. Exceptionally, equivalent professional experience and/or qualifications will be considered. All applicants are subject to interview.

If English is not your first language, you'll need English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.

If you don't meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.

 

 

 

The candidate must have a Computer science degree or similar qualification and would benefit from experience in psychology.

 

How to apply

We’d encourage you to contact Dr Elisavet Andrikopoulou (elisavet.andrikopoulou@port.ac.uk) to discuss your interest before you apply, quoting the project code.

When you are ready to apply, please follow the 'Apply now' link on the Health informatics PhD subject area page and select the link for the relevant intake. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV.  Our ‘How to Apply’ page offers further guidance on the PhD application process. 

When applying please quote project code: COMP6401025