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About
Colleges

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
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...
Michael Rustell
Self Funded
Bridging the Gap: Integrating Neural Radiance Fields and Micro-drones for Enhanced 3D Volumetric Finite Element Analysis
Objective: The central objective of this project is the innovative deployment of Neural Radiance Fields (NeRFs) and micro-drones in the process of 3D volumetric Finite Element modelling of bridges. Th...
Michael Rustell
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...
Alina Miron
Self Funded
Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data
 Multiple Long-Term conditions (MLTC) are a major healthcare challenge associated with high service utilization and expenditure. In the project, the candidate will help develop robust and explainable ...
Self Funded
Development and Validation of Security Metrics and Predictive Models for Blockchain Ecosystems
Background: Blockchain technology is a transformative innovation that has the potential to disrupt various sectors including finance, healthcare, and governance. However, with its growing adoption, se...
Self Funded
Optimising end to end delay in 5G and Beyond networks
End to end delay is an important aspect in communication networks considering diverse applications ranging from healthcare to gaming. End to end delay is due to propagation, transmission, queuing and ...
Nila Nilavalan
Self Funded
Design and implementation of Explainable Trustworthy Artificial Intelligent System
Currently, the output of AI does not indicate the route or process the model has taken to obtain that output. So, the developers that developed the model will not be able to concisely conclude nor exp...
Tatiana Kalganova
Self Funded
Smart Homes: Intelligent Data Collection and Processing using Lynsyn
Electricity prices are constantly increasing, and household consumer demand response is a field gaining more interest. This allows the user to understand the behaviour of power consumption and therefo...
Tatiana Kalganova
Self Funded
Large Language Modeling (LMM) for unstructured dialogues
Language models such as ChatGPT have become increasingly popular in recent years due to their ability to generate human-like text and assist with a wide range of natural language processing tasks. The...
Tatiana Kalganova
Self Funded
Precision control of Nano-fuel 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...
Yang Yang
Self Funded