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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
Generative AI for Digital Marketing
In the domain of digital marketing, the integration of Generative AI presents an opportunity to enhance customer engagement, personalise marketing strategies, and optimise decision-making processes. B...
Self Funded
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
NLP for Business Intelligence
Business operations involve a large amount of data from their internal communications, presentations, reports, accounting and marketing, and external information from governments, industry sectors, cu...
Self Funded
Decision making for stratified medicine life cycle
Stratified medicine is at the cutting edge of a new era in healthcare, which targets to a specific patient population on the basis of a companion diagnostic (such as a biomarker) to predict treatment ...
Self Funded
Decision making for stratified medicine life cycle
Stratified medicine is at the cutting edge of a new era in healthcare, which targets to a specific patient population on the basis of a companion diagnostic (such as a biomarker) to predict treatment ...
Self Funded
Machine learning approaches in health data science for risk prediction of cardiovascular diseases
Cardiovascular disease is killing over 17 million people in the world. almost a third of the death from cardiovascular diseases occur suddenly without prior signs and symptoms or diagnosis of any hear...
Self Funded
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