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We have 14 University of Leeds Applied Statistics PhD Projects, Programmes & Scholarships for Self-funded Students
University of Leeds Applied Statistics PhD Projects, Programmes & Scholarships for Self-funded Students
We have 14 University of Leeds Applied Statistics PhD Projects, Programmes & Scholarships for Self-funded Students
Funded PhD Studentship in Statistics
Research Group:
School of Mathematics
Research covers key areas of theoretical and applied statistics. This reaches from the study of statistical methodologies in statistical learning, spatial models, functional data to applications in medicine, biology, geoscience, finance and insurance. Read more
Funded PhD Studentship in Probability
Research Group:
School of Mathematics
Research covers key areas of probability and stochastic analysis. Read more
Funded PhD Studentship in Financial and Actuarial Mathematics
Research Group:
School of Mathematics
Research covers key areas of probability and statistics with applications to finance and insurance. Read more
The influence of physical process representations on regional and global-scale climate model output
Background. The influence of aerosol particles on Earth’s energy balance, remains a major uncertainty in climate science. Even with increased model complexity, resolution, and data availability, aerosol and cloud interactions remain difficult to constrain, leaving gaps in understanding. Read more
Epistemology of weather and climate prediction: What certainty can we have in the future of our environment?
Background. This project will use mathematics, meteorology and philosophy to explore the epistemology of weather and climate prediction. Read more
Integrating weather and climate information into innovations and metrics for agricultural advisories
Background. Rainfed agriculture is a vital source of food and income for subsistence farmers in Kenya. Agricultural yields across Kenya are highly impacted by variations in rainfall on timescales from days to decades, with climate change altering the profile of rainfall-related risk. Read more
Back to the Future: Ice sheet collapse, ocean circulation slowdown and abrupt climate change
Background. The Atlantic Meridional Overturning circulation (AMOC) – a large-scale system of ocean currents – is critical for keeping North American and European climates mild. Read more
Protecting UK infrastructure from landslides triggered by climate extremes
Background. Landslides impact the railway network on average three times per week, and their frequency has increased by >50% in the last ten years. Read more
Using new high-resolution ensembles to quantify uncertainty in projections of African climate processes
Background. Global models underpinning future projections struggle to capture African weather and climate change, to a large extent because the convective storms that generate tropical rainfall are below their coarse grid scale and have to be parameterised. Read more
Millennia of sea-level rise awaits: Quantifying spatial uncertainty
Background. Sea-level rise presents one of the greatest environmental challenges for the global community. However, there is deep uncertainty in future projections beyond 2100. Read more
Variability and future changes in European wind storm risk
Background. This project offered as part of https://unrisk-cdt.ac.uk/. European wind storms cause insured losses of around €1.4 billion per year. Read more
Reducing uncertainty in the effect of clouds on climate change
Background. Clouds are the cause of very substantial uncertainty in climate models and the reliability of climate projections. Read more
Last chance to apply
MRC DiMeN Doctoral Training Partnership: Applying cutting-edge machine learning to rectal cancer MRI from a tertiary hospital: predicting treatment effect for chemoradiotherapy and immunotherapy
Applying cutting-edge machine learning to rectal cancer MRI from a tertiary hospital. predicting treatment effect for chemoradiotherapy and immunotherapy. . Read more
Programmes of cluster-randomised trials for optimising learning healthcare systems
Background to the project. Healthcare systems consist of hierarchies of individuals and organisations. For example, in the UK, primary care is made up of patients within general practitioners (GPs), in general practices, within primary care networks (PCNs), in regions (Integrated Care Boards). Read more
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