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We have 204 Statistics PhD Research Projects for Self-funded Students
Statistics PhD Research Projects for Self-funded Students
We have 204 Statistics PhD Research Projects for Self-funded Students
CR2025_44: Cod in crisis in the Celtic Sea: Predicting the Cod distribution using Satellite Ocean Colour and Machine Learning
Ensuring a sustainable supply of food for the nation is a major priority for the UK Government. This includes access to sustainable marine-sourced food, particularly fisheries. Read more
CR2025_47: Nutrient Impacts and Microbiochemical Controls on Carbon Storage in Forest Soils
Temperate forests and woodlands play a vital role in storing carbon, much of which is held in the soil. This natural carbon storage helps to offset the effects of climate change. Read more
CR2025_42: The Cause-mic Universe: Tracing Links between Solar Flare Variability (Quasi-Periodic Pulsations) and Earth’s Ionosphere with Causality
Solar flares are outbursts of radiation across the electromagnetic waveband produced by the Sun impacting us here on Earth. Read more
CR2025_24: Keeping pace with climate change: facilitating species dispersal through productive landscapes.
Protecting biodiversity underpins our ability to mitigate and adapt to climate change. The UK is one of the most biodiversity-depleted countries1, primarily due to land-use change (e.g. Read more
CR2025_15: Temporal and spatial impacts of conservation actions on British reptiles and amphibians
To address the current biodiversity crisis, studies that follow up conservation projects after their implementation are sorely needed. Read more
CR2025_12: How will extreme weather affect the energy sector in Europe under climate change?
Weather affects both electricity supply and demand, for example during still and cold winter days when low supply from wind turbines coincides with high demand for heating. Read more
CR2025_02: Network approaches to rewilding Britain’s ecosystems
*Please note that this PhD will be hosted at Swansea University*. Read more
CR2025_02: Network approaches to rewilding Britain’s ecosystems
*Please note that this PhD will be hosted at Swansea University*. Read more
CR2025_01: Understanding the risk of extreme U.S. winter weather
The United States is particularly vulnerable to extreme winter weather, and in February 2021, December 2022, and January 2024, the U.S. Read more
Advanced analytics to investigate novel BP wearable technology to improve cardiovascular outcomes and falls
This is a unique opportunity to work with the world’s largest research cohort of its kind harnessing detailed 24-hour blood pressure records and cardiovascular and falls outcomes on follow up for more than 26,000 people across three UK City regions. Read more
Modelling and identification of cerebral blood flow control
Research Group:
Cyber Physical Systems
Co-Supervisor. Professor David Simpson. Read more
Funded PhD - Wound Entry and Vascular Immunity: How Bacterial Plant Pathogens Enter and Colonise Plants Through Wounds
Wounding of plants by environmental stresses such as wind, rain, or sandstorms creates entry points for bacterial pathogens, which exploit these wounds to infect plants, spread through vascular tissues, and suppress immunity. Read more
Reproducible and Accessible Statistical Genetics Workflows tested in Evolutionary Psychiatry
The majority of statistical genetics calculations, for example Genome Wide Association Studies and Polygenic Risk Scores are carried out using High Performance computing environments which require users to have excellent computing and programming skills. Read more
AI and Machine Learning in Human Genetics
In recent years, the field of human genetics has grown immensely in terms of data production and analysis, now routinely analysing data from thousands of people over millions of genetic markers [1] and thousands of variables [2]. Read more
A comprehensive approach to test for missing not at random
Missing data occur in many application areas, including sample surveys and clinical trials. Little and Rubin (2019) classify missingness into three categories. Read more