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Research Degrees

PhD research student applications are welcomed by the HCI Research Group all year round.  Research students are valued members of our thriving, research-intensive team. We are particularly interested in supervising students' research in any of the broad range of topics listed below. Please note that the topic list is not exhaustive, so feel free to contact a member of HCI with your ideas. 

Some candidate PhD topics that group members are interested in supervising in the future may include, but are not limited to:

  • Digital Financial Services
  • Mobile Money/ Currencies
  • Blockchain/Cryptocurrency Interactions
  • Video Production
  • Family and Domestic Technologies
  • In-vehicle Interactions

See below a list of available PhD projects in Computer Science that includes projects in our area:

Description
Supervisor
Funding
Decision making for stratified medicine life cycle
Stratified medicine is at the cutting edge of a new era in healthcare, which targets to a specific patient population on the basis of a companion diagnostic (such as a biomarker) to predict treatment ...
Self Funded
Decision making for stratified medicine life cycle
Stratified medicine is at the cutting edge of a new era in healthcare, which targets to a specific patient population on the basis of a companion diagnostic (such as a biomarker) to predict treatment ...
Self Funded
Machine learning approaches in health data science for risk prediction of cardiovascular diseases
Cardiovascular disease is killing over 17 million people in the world. almost a third of the death from cardiovascular diseases occur suddenly without prior signs and symptoms or diagnosis of any hear...
Self Funded
AI system for historical handwritten text recognition (HTR)
Libraries around the world digitise the historical handwritten documents to preserve historical past and educate the people about the cultural heritage. However, a reliable optical character recogniti...
Self Funded
AI (Artificial Intelligence) enabled autonomous robots for non-disruptive inspection of utility and sewage systems
Traditional manual maintenance of pipelines which requires digging of ground to get access to pipelines is ineffective because of safety issues, high cost and limited human vision. Thus, serious fault...
Self Funded
Development of a miniature capsule robot for capsule endoscopy
A capsule robot has potential applications in medical diagnosis (e.g. capsule endoscopy) and treatments. In 2000, Given Imaging introduced the capsule endoscope which has many advantages over the trad...
Self Funded
Ambient Vibration-Based Calibration of Finite Element Models of Bridges
Objective: The primary objective of this project is to develop a novel method for calibrating Finite Element models of bridges using ambient vibration data and drone imagery. This method will leverage...
Self Funded
Bridging the Gap: Integrating Neural Radiance Fields and Micro-drones for Enhanced 3D Volumetric Finite Element Analysis
Objective: The central objective of this project is the innovative deployment of Neural Radiance Fields (NeRFs) and micro-drones in the process of 3D volumetric Finite Element modelling of bridges. Th...
Self Funded
Few-Shot Medical Segmentation Using Deep Learning
We are seeking a highly motivated and talented candidate for a self-funded PhD position in the field of Few-Shot Medical Segmentation using Deep Learning. This opportunity is ideal for individuals wit...
Self Funded
Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data
 Multiple Long-Term conditions (MLTC) are a major healthcare challenge associated with high service utilization and expenditure. In the project, the candidate will help develop robust and explainable ...
Self Funded