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Research degrees

PhD research student applications are welcomed by the IMS 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 above. Please note that the topic list is not exhaustive, so feel free to contact a member of IMS with your ideas. 

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

  • Delivering Student Centred Learning via Collaborative Digital Game-based applications.
  • Robot-Human Interaction
  • Virtual and mediated realities in Health care
  • Depth sensing technologies for automated falls prevention interventions and assistive equipment prescription.
  • 3D visualisation technologies to support clinicians and patients in carrying out falls prevention interventions
  • Physiological response based video summarisation
  • Multisensorial media-cues in e-learning.
  • Designing Web Content for Enhanced User Experience on an Internet-Connected Television Device
  • Olfactory-Enhanced Multimedia: A User’s Perspective
  • Self-beliefs in the Introductory Programming Lab and Game-based Fantasy Role Play
  • Improving patient education of falls risks via intelligent ‘human-like’ 3D gaming applications.
  • Sensor-based video summarisation
  • Delivering Student-Centred Learning education via intelligent gaming applications.
  • Exploring the value of intelligent robot-based assessments compared with traditional human-based assessment methods in higher education.

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

Description
Supervisor
Funding
Natural Language Processing for Public Health Surveillance
The sale of sugary products is still strong, despite the recommendations to reduce their consumption. When children consume too much sugar, they can suffer from obesity, type 2 diabetes and cardiovasc...
Self Funded
Deep Learning and Natural Language Processing Based FinTech prediction
Financial markets including stocks and forex constantly fluctuate. Apart from individual company performances, various external factors such as human psychology of the masses, local and international ...
Self Funded
Using Machine Learning to Simulate Macroscopic phenomena for Fluid Dynamics
Macroscopic dynamic phenomena involving free and solid boundaries exist both in nature and industrial environments and are often associated with incidents of potentially high industrial impact. Such d...
Self Funded
Developing computational models to understand the evolution of bidirectional catalysts in biology
Proteins are complex biological macromolecules coordinating a plethora of biological functions in the cell. Some proteins, i.e. enzymes, catalyse biological reactions. While some of these reactions ar...
Self Funded
Real-time Visual and Haptic Feedback of Grasping Movements in Virtual Reality
The project we propose is multidisciplinary, combining research into 3D graphics, physics, AI, and virtual reality techniques from computer science with new advances in brain mechanisms underlying per...
Self Funded
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
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
 

Fully-funded studentships

Our funded studentships become available at different times of the year. Please keep checking our page regularly to see the latest funded opportunities. We also advertise all our funded studentships as soon as they become available on the @BrunelResearch twitter account.

View all studentships