The BSU is an internationally recognised research unit specialising in statistical modelling with application to medical, biological or public health sciences. Details of the work carried out in the Unit appear on our Research page.
Studentships for October 2021 entry
Applicants wishing to apply for a one of the Unit funded PhD studentships available for commencement in October 2021 should select up to 4 projects from the list below and detail these in their university application form.
Students are welcome to design their own projects and submit these on their University application to be put forward into the central University funding competitions but please note, only applications selecting projects on the list below will also be considered for department funding.
Current list of available projects
- Developing dynamic latent process methodology for high dimensional biomarker data with correlated latent biological processes – Brian Tom and Robert Goudie
- Design and Analysis of Personalised Phase I Dose-Escalation Trials – Thomas Jaki and Pavel Mozgunov
- Dynamic models for breast cancer prognosis and monitoring – Oscar Rueda
- Improving statistical methods for emulating target trials with observational data – Li Su and Shaun Seaman
- Designing efficient adaptive pooled testing strategies for use in the context of COVID-19 and similar emerging epidemics – David Robertson, Sofia Villar and Jack Bowden (University of Exeter)
- Evaluating treatments for infectious diseases through a series of outbreaks – Thomas Jaki
- Accounting for heterogeneity in network neuroscience: extending the Bayesian Exponential Random Graph Model to infer and identify group differences – Brian Tom, Simon White and Brieuc Lehmann (University of Oxford)
Please note- projects are continuously added to this list and applicants are advised to check back regularly.
If you are keen to work with a particular member of BSU staff in the area of their research and they are not listed above, you are welcome to contact them directly to discuss the possibility of a PhD.