Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

We have 100 Statistics PhD Research Projects PhD Projects, Programmes & Scholarships

Discipline

Discipline

Mathematics

Location

Location

All locations

Institution

Institution

All Institutions

PhD Type

PhD Type

PhD Research Projects

Funding

Funding

All Funding


Statistics PhD Research Projects PhD Projects, Programmes & Scholarships

We have 100 Statistics PhD Research Projects PhD Projects, Programmes & Scholarships

PhD in Computing Science - Interactive Model-based Probabilistic Visualisations for Exploring Decisions

This studentship is linked to the DIFAI project. Applicants are invited for a fully funded PhD studentship (international fees + stipend at research council rates) in a collaborative project between the University of Glasgow and Aegean Airlines (Athens, https://en.aegeanair.com/). Read more

Machine learning for extreme scale computational imaging in radio astronomy

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more

Foundations of deep learning for scalable computational imaging

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on foundational deep learning methodology for computational imaging in astronomy and/or medicine. Read more

Computational imaging in low resource settings

The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging in low-resource settings. Read more

Parameterising wakes for oceanographic models

This Research Project is sponsored by the Centre for Environment Fisheries and Aquaculture Science (CEFAS) and is part of the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience’s Predicting Offshore Wind wake interactions for Energy and the enviRonment (POWER) Cluster. Read more

Innovative decommissioning for offshore foundation systems

This project is offered as part of the EPSRC CDT in Offshore Wind Energy Sustainability and Resilience. The CDT is a partnership between Hull, Durham, Loughborough and Sheffield universities, along with over 40 industry partners. Read more

Economic and environmental assessment of energy systems integration for increased utilisation and reduced curtailment of offshore wind farms

This Research Project is part of the EPSRC CDT in Offshore Wind Energy Resilience and Sustainability’s Energy Economics Cluster. The CDT is a partnership between Hull, Durham, Loughborough and Sheffield universities, along with over 40 industry partners. Read more

Thrive: Finishing School Well

Statistical Machine Learning and Data Science - PhD and Masters - A highly competitive scholarship to develop new machine learning, statistics and data-driven methods to battle social disadvantage in NSW. Read more

Novel causal models for multivariate functional data

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

New frontiers in extreme data analysis

  Research Group: Data Science, Statistics & Probability
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2024. . Read more

Quantifying Discretisation Error in Climate Models

A significant challenge in climate models is discretisation error. even on cutting-edge hardware it is impossible to use fine enough discretisations to resolve underlying physics, which can have a significant impact on modelling results. Read more

NIHR Leeds BRC: Utilising genetic and genomic predictors of vasculitis and disease/treatment complications for application in routine clinical practice

There is substantial interest in using genetic biomarkers to predict those most at risk of disease and treatment complications; this is one of the focuses of Our Future Health, a national study aiming to recruit 5M participants ( https://ourfuturehealth.org.uk/ ). Read more

Filtering Results