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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
Additive manufacturing and sustainability
The Additive Manufacturing and 4D Printing Research group conducts research on novel use of materials, design guidelines and the societal impact of using 3D Printing. This is a self-funded topic and t...
Self Funded
Machine learning for sustainable transportation systems
This is an interdisciplinary position at the intersection of artificial intelligence, deep learning, and transportation systems. The research student will work on research projects focused on developi...
Self Funded
Automatic computational fluid-dynamics
Computational fluid-dynamics (CFD) is undergoing a revolution from steady to high-fidelity unsteady methods.  A key time limitation to running CFD is in setting up a case to be run and processing data...
Self Funded
CFD modelling of plasma flow control
Active flow control can be utilised to modify fluid flow in advantageous ways without performance penalties of passive flow control.  For example, to delay boundary layer separation, or alter noise ge...
Self Funded
Can AI based robot car win the race
A modern Formula 1 race is a breathtaking display of engineering precision. Yet the popularity of the sport arguably has less to do with the performance of the cars than with the skill and daring disp...
Self Funded
Cultivating virtual embodiment using non-invasive brain stimulation
Virtual embodiment (VE) sense of embodiment is the feeling of one’s own body in relation to its environment. It is related to a sense of self and is considered as the starting point of having self-ide...
Self Funded
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
Swarm of multiple co-operative and autonomous low-cost robots for search and rescue
Search and rescue (SAR) services work with extreme caution in a disaster scene as unstable rubble are dangerous for the potential survivors and the rescue workers. To reduce the risk SAR robots have b...
Self Funded
Design and Development of a Capsule Robot for Medical Applications
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 traditio...
Self Funded
Deep learning-based autonomous diagnosis of gastrointestinal tract cancers
Gastrointestinal (GI) tract cancer is the leading cause of all cancer deaths. Deep learning-based diagnosis of GI tract diseases has the potential to revolutionise diagnostic speed, accuracy, and cost...
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