Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
Explore our current postgraduate research degree and PhD opportunities.
We are interested in how T cells are induced to become pathological in autoimmune conditions. In this project, the student will work with immunologists, clinicians and patients and will study the development of T cells in the context of Crohn’s disease.
Gene Regulatory Networks (GRNs) orchestrate cell fate and are key to understanding disease. We has expertise in developing computational methods for single-cell omics data. This project will develop new computational approaches for single-cell RNA-seq, applying them to human datasets to discover targets and advance precision medicine.
Perovskite quantum dots show great potential for tunable light emitters. They are also promising candidates for single-photon emitters, which are key building blocks for quantum communication networks. This project will study the fundamental photophysics behind photon emission of perovskite semiconductor nanoparticles and develop new platforms for quantum technologies.
This PhD project builds on a newly funded NIHR research aiming at predicting response to methylphenidate (the most common medication for ADHD), based on pre-treatment clinical, cognitive, and physiological characteristics. Ultimately, this will help tailor treatment options and thus improve patients’ outcomes.
University of Southampton Business School (USBS) has an ambitious quality-driven growth strategy. To enable world-leading research and generate knowledge that is recognised in the global academic community, we are seeking to award several full PhD scholarships to outstanding candidates across all disciplinary areas in Management, including Accounting, Banking and Finance, Decision Analytics and Risk, Digital and Data-Driven Marketing, HR Management and Organizational Behaviour, Strategy, Innovation Management, and Entrepreneurship.Start date: 21 September 2026. Duration: Three years full time.
This project will develop advanced machine learning and stochastic optimisation methods to identify anomalous behaviours in maritime traffic using Automatic Identification System (AIS) data. It will enhance maritime situational awareness and security while addressing uncertainty and complexity in vessel behaviour modelling.
This project targets antibiotic-resistant urinary tract infections using a lab-on-a-chip that mimics the human urinary tract. It enables realistic infection studies and tests phage therapy; phages are natural viruses that kill bacteria. The aim is to develop faster, smarter treatments to combat resistance and improve patient outcomes.
Early diagnostic detection using fast and sensitive methods are of great importance for disease prevention. Label free nucleic acid probes for the detection of disease related messenger RNA, non-coding RNA and micro-RNA is of topical interest. Nucleic acid chemistry, biophysical, biochemical and stat-of-the-art modern spectroscopic techniques will be used.
This project investigates how AI tools can augment developer creativity, while considering the potential downsides. You will be working at the intersection of human-centred AI and software engineering in delivering research with real-world impact.
This project investigates how secretory signalling pathways and cell communication influence the emergence of cancer stem cells (CSCs) during early pancreatic cancer development. Using advanced 3D organoid models, multi-omics, and genetic approaches, it aims to identify key pathways, biomarkers, and therapeutic targets for early detection and intervention in pancreatic ductal adenocarcinoma (PDAC).