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
Advanced Deep Learning for Medical Imaging
Medical imaging seeks to reveal the structures and activities inside the human body that are normally invisible behind other body parts such as skin and bones. With a wide range of imaging technologie...
Self Funded
Precision control of nanofuel production
Storing hydrogen nanobubbles in liquid carriers to produce hydrogen nano-fuels offers significant benefits in terms of efficiency, safety and sustainability. Hydrogen nano-fuels have great potential t...
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