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Colleges

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
Machine learning for biometric identification
Biometric identification aims to recognize people's identity through the use of signals or images from which one can extract features that are distinctive to each person. This PhD project will focus o...
Self Funded
Comparative studies and benchmarking machine learning algorithms
Machine learning algorithms are employed in a myriad of applications in almost any domain, being it industrial, commercial, scientific or academic. Many techniques have been developed to tackle such a...
Self Funded
Development of machine learning methods to redesign protein dynamics
Protein function is often coupled with conformational changes. This project is aimed at developing machine learning methods to inform protein design. The student will be required to design, develop an...
Self Funded
Identifying Micro-service architectural erosion or inconsistency
Micro services are becoming popular amongst technology providers, transportation industry etc. These not only claim to provide solution to the traditional problems such as agility, saleability, mainta...
Self Funded
Designing interactions with digital money
The PhD will explore how people use and interact with money to explore how digital systems can be designed for more effective and suitable purposes. This topic could cover consumer payment systems, pe...
Self Funded
Modelling the movements of goods between locations and countries
The aim of this project is to create an agent-based model that mimics the movement of goods between locations and trading individuals in a given country-specific setting. The idea of this model is to ...
Self Funded
Intelligent human-computer interaction: system development and applications
The first generation of Artificial Intelligence (AI) research was rules-based and emulated classical logic to draw reasoned conclusions within a specific, narrowly defined problem domain. It was well ...
Self Funded
Mapping Software Systems based on Domains
This project is based on inter-disciplinary research: on the one hand, it is a Computer Science project, where a good understanding of software programming is needed. On the other hand, it is a Biolog...
Self Funded
Software Architecture Recovery and Consistency of Mobile Applications
Project Summary: Mobile applications are being developed by new platforms such as Android with their own programming languages, e.g., Java version for Android. Currently, mobile applications are small...
Self Funded
Optimisation methods for (deep) neural networks
A machine learning algorithm can be viewed as a mapping between inputs and outputs, with the scope of optimising and tuning the parameters that describe it so that the performance is improved. The los...
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