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We have 13 Mathematics PhD Projects, Programmes & Scholarships in St Andrews
Mathematics PhD Projects, Programmes & Scholarships in St Andrews
We have 13 Mathematics PhD Projects, Programmes & Scholarships in St Andrews
Emergence and equilibration of zonal winds on giant planets: a wave-mean flow interaction approach
The Vortex Dynamics group in the School of Mathematics and Statistics at the University of St Andrews is looking for applicants for a PhD studentship for a start in September 2025. Read more
Developing Statistical Learning Methods for a Charismatic Tropical Ecology System
Research Group:
Division of Statistics
We invite applications for an exciting PhD opportunity to develop and apply cutting-edge statistical and machine learning approaches to better understand the complex dynamics of ant-following bird systems in African ecosystems. Read more
Efficient design of high-throughput molecular studies.
A typical experiment might consist of taking one sample from each of 100 patients, measuring many molecular properties, and then performing an analysis. Read more
Topics arising from the UK Prostate ICGC (International Cancer Genome Consortium) project.
The UK Prostate ICGC project has generated many data on a cohort of men with the prostate cancer that have the following notable features. Read more
Stochastic simulation, analysis, and inference for non-linear dynamical systems
This project aims to create a new modelling framework for describing systems that exhibit non-linear dynamics, such as oscillations or multiplicity of equilibria. Read more
Integrating multivariate modelling with stochastic optimization to plan firebreaks
Research Group:
Division of Statistics
Wildfires are a well-known matter of concern worldwide. In particular, Portugal has recently seen a total burn area severe increase, attaining the unsettling value of 110097 ha, in 2022. Read more
Inferring Events from Phylogenetic Analysis of Eyewitness Testimony in the Historical and Forensic Record
This project will consider if we can use phylogenetic analysis to correct for imperfections in eyewitness testimony. Eyewitness testimony from events with multiple witnesses is often inconsistent and sometime contradictory. Read more
Improved survival analyses in molecular cancer studies
Improved survival (whether this is literal survival, time to a change in symptoms, or time to disease progression) is a key outcome in cancer research. Read more
Identifying complex spatio-temporal biomarkers of brain diseases
Bayesian models today are providing the tools to explore the complexity of brain architecture. Therefore, there is a crucial need for leading researchers with an in-depth comprehension of the current challenges in neuroscience and the quantitative skills to develop cutting-edge solutions. Read more
High-dimensional functional time series modelling of environmental datasets
Research Group:
Division of Statistics
In a dynamic time-series model, selecting the appropriate lag order is crucial for understanding the predictive relationships among variables and generating accurate forecasts. Read more
Hidden Markov models for spatially structured populations
Hidden Markov models (HMMs) offer a very powerful, flexible, and efficient structure for likelihood computation. They’re a popular tool for problems in statistical ecology since the structure often has an associated, and insightful, ecological interpretation for the system being modelled. Read more
Bayesian identifiability for log-linear models
Log-linear modelling is the standard approach for investigating the full joint dependence structure between categorical variables. Read more
Efficient and accurate estimation of population trends with citizen science data
Traditionally ecological data are collected through designed experiments, however in recent years data collection has been revolutionised citizen science. Read more
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