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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
Novel machine learning methodologies for human action correction in videos
The goal of this research is to motivate patients with disabilities to get better in a faster, easier and fun way. It will apply artificial intelligence methods to a software that turns traditional ph...
Self Funded
Autonomous 5G Networks
5G Networks are expected to support many use cases ranging from autonomous vehicles, e-health, industry 4.0, entertainment, transport, smart cities etc. which will place a wide range of technical requ...
Self Funded
Design Guidelines for Musemedia – multiple sensorial media
Mulsemedia - multiple sensorial media - makes possible the inclusion of layered sensory stimulation and interaction through multiple sensory channels. The recent upsurge in technology and wearables pr...
Self Funded
Artificial intelligence technology development for medical applications
In this project, advanced deep learning algorithms will be developed for medical data (e.g. biomedical signals, images, sound, touch, pressure, etc.). The sensors will be studied, signal processing me...
Self Funded
Deep Learning for Video Compression
This project will firstly examine and analyse deep learning techniques particularly in the context of their applicability to ultra high resolution (4K/8K) image/video compression. The project will loo...
Self Funded
Neuromorphic-computing models and its applications
Neuromorphic-computing models are the ones that can simulate human brains architecture and connections. It is composed of large numbers of neurons and nonlinear connections. The developed deep neural ...
Self Funded
Investigating methods and applications of citation context analysis
Traditionally, scientometric/text-mining approaches have treated the content of scientific articles and their citations as distinct units of analysis. The term “citation context” refers to an approach...
Self Funded