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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:

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
Development and Validation of Security Metrics and Predictive Models for Blockchain Ecosystems
Background: Blockchain technology is a transformative innovation that has the potential to disrupt various sectors including finance, healthcare, and governance. However, with its growing adoption, se...
Self Funded
Optimising end to end delay in 5G and Beyond networks
End to end delay is an important aspect in communication networks considering diverse applications ranging from healthcare to gaming. End to end delay is due to propagation, transmission, queuing and ...
Self Funded
Design and implementation of Explainable Trustworthy Artificial Intelligent System
Currently, the output of AI does not indicate the route or process the model has taken to obtain that output. So, the developers that developed the model will not be able to concisely conclude nor exp...
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