I am inviting applications for a fully funded PhD studentship as part of the Statistics PhD programme in the School of Mathematics, Statistics & Physics at Newcastle University, with a start date of October 2026.
The advertised studentship is one of seven PhD projects across the Statistics section, from which three funded positions will be awarded.
Project title:
Time-changed MCMC for complex sampling
Studentship code:
MSP110
Project description:
This project focuses on the development of novel time-changed Markov chain Monte Carlo (MCMC) methods for challenging sampling problems arising in modern statistics and machine learning. The research will combine theoretical and computational aspects of Bayesian computation and stochastic processes.
Funding:
The studentship covers Home tuition fees and provides a tax-free stipend at the UKRI rate (currently £20,780 per annum) for 3.5 years.
Candidate profile:
Applicants should have a strong quantitative background (e.g. statistics, mathematics, data science, or computer science) and an interest in Bayesian computation and Monte Carlo methodology.
Further information:
Project details: https://blogs.ncl.ac.uk/statsphds/
Eligibility and funding information: https://www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=STAT2026
How to apply:
Applications should be submitted via:
https://applyto.newcastle.ac.uk/SignIn?returnUrl=/
Application deadline:
2 February 2026
Informal enquiries are welcome.