Funding

Self-funded

Project code

COMP6411025

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.

The work on this project could involve:

  • Develop a quality labeling system for mhealth and wellness applications specifications
  • Validate the results of the these techniques using real clinical case study
  • Assess the trustworthiness of these techniques

Context

Selecting a good healthcare application is hard. Good means very different things to many people. The project will try to develop and pilot a quality labeling system for healthcare and wellness applications based on their specifications and how these adhere to NICE guidelines. 

A typical example of what we are proposing is an energy label system. However, the project aims to identify what the stakeholders deem as appropriate and the general feasibility and sustainability of a system like this.

Aspects of the project may include data quality assessment, evaluation of people’s needs and use of mixed methods to identify necessary requirements.

The candidate will work in collaboration with NICE 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 needs a Computer science degree or similar qualification and  would benefit from experience on AI video analysis.

 

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: COMP6411025