Skip to main content

Research Degrees

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

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

  • Software Architecture
  • Software Fault Analyses
  • Understanding of Defects in Software
  • Refactoring and Bad Smells
  • Effort Estimation in Software Projects
  • Search Based Software Engineering
  • Human Aspects of Software Engineering
  • Metrics and Patterns in Software Projects
  • Data Analytics for Software Engineering

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

Description
Supervisor
Funding
Autonomous Drone Surveys and Convolutional Neural Networks for Bridge Maintenance: A Predictive Approach Using Finite Element Analysis
Objective: The primary objective of this research is to develop a comprehensive framework for bridge maintenance that integrates autonomous drone surveys, convolutional neural networks (CNNs), and Fin...
Self Funded
Exploring the potential of human-like computing methods and applications in education or healthcare
Intelligent, ‘human-like’ applications, 3D games, and interfaces are becoming more common in our everyday lives, and as an important area of focus within the fields of Multimedia / Human-Computer Inte...
Self Funded
Exploring the potential of human-like computing methods and applications in education or healthcare
Intelligent, ‘human-like’ applications, 3D games, and interfaces are becoming more common in our everyday lives, and as an important area of focus within the fields of Multimedia / Human-Computer Inte...
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
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
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
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
Development of an Optical Shape Sensing Method Using Optoelectronic Sensors for Soft Flexible Robotic Manipulators in Minimally Invasive Surgery
Over the last two decades, many soft continuum manipulators have been developed by many academic institutions and industries for MIS (minimally invasive surgery), endoscopy, and colonoscopy because th...
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
Large Language Models (LLM) for Automated Finite Element Analysis
This is a Self-Funded project - please only apply if you have funding to undertake this project Large Language Models such as Chat GPT3 represent a significant development in artificial intelligence ...
Self Funded