ÃÛÌÒ´«Ã½

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:

Description
Supervisor
Funding
Explaining model decisions through dialogue
As Machine Learning and AI models underpin many of the recommendation/decision tools used to in day-to-day life these need to be transparent and explainable. The aim of this research is to explore, de...
Self Funded
Natural Language Processing for Business Intelligence
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
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
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
Artificial intelligence technology development for medical applications
In this project, advanced deep learning algorithms will be developed for medical data (e.g. biomedical signals, images, sound, touch, pressure, etc.). The sensors will be studied, signal processing me...
Self Funded