Skip to main content

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:

Deep Learning for Medical Imaging
For over a decade, the Intelligent Data Analysis Research Group has been working in an extensive area of artificial intelligence and data science. Recent projects include medical imaging, bioimaging, ...
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
Development of resilient hospitals through enhanced built environment design and research
Approximately one-fifth of the confirmed COVID-19 cases and the majority of the infected frontline healthcare workers were associated with healthcare-acquired infections during the first wave of the C...
Self Funded
Intelligent, Interpretable and Adaptive Design of Steel Structures using Deep Learning and NLP
The overall aim of this research is to develop a smart design assistant which is able to intuitively perform the design of complex steel structures to Eurocode Standards. Design errors are common, cos...
Self Funded
Disruptive Digital Experiences
Digital experiences deliberately go beyond simply communicating information - they seek to strongly engage, involve, and emotionally affect the user using digital means. A huge array of interactions a...
Self Funded
Brain wave analysis and modelling with graph signal processing
Brain wave analysis and modelling is an increasingly important research area, not least because of its applications in bio-medicine, rehabilitation, and next-generation human-computer interfaces. This...
Self Funded
Digital Stone: Robotic Construction of a Masonry Arch Bridge
Stone bridges and buildings were widely built up until the 1920s. They last for hundreds - and in many cases thousands of years, for example those built by the Romans. With 80% lower carbon emission c...
Self Funded
Using deep learning for weed detection
Although the deep learning area has made a major breakthrough in the latest developments, there are still numerous challenges that have to be resolved when working with real-world data. In this partic...
Self Funded
User experience in Extended Reality environments and applications
Extended Reality (XR), which covers Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), is already in the rise with applications from manufacturing to health to gaming, to name but ju...
Self Funded
Exploring the potential of serious games to enhance user engagement with real-world applications
Serious games, which are defined as digital games that do not have entertainment as their main focus, have been shown to be an effective platform for improving training, education or modifying objecti...
Self Funded