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We have 175 Statistics PhD Research Projects for Self-funded Students
Statistics PhD Research Projects for Self-funded Students
We have 175 Statistics PhD Research Projects for Self-funded Students
Extending statistical methodology for multi-model ensembles (C3.5-MPS-Blackwell)
In many areas of science, there are multiple useful ways to model a given complex system, which may include simple descriptive models or more elaborate mechanistic or process-based models. Read more
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Aperiodic and disordered unit cell tiling for enhanced performance of Reconfigurable Intelligent Surfaces
New mathematical insight and optimisation will lead to improved RIS performance especially at mmWave frequencies for 6G mobile networks. Read more
Machine Learning for Assessing Impact of Stress Cycling due to Temperature Changes on Damage Accumulation in Rail (C4-MAC-Jones)
Rolling contact fatigue and wear of rail contribute heavily to Network Rail’s £1,800 annual track renewal and maintenance costs. Many studies have focussed on the mechanical aspects of the damage, but ignored the impact of temperature changes, particularly those occurring over a single day. Read more
Applications of Universality in Topological Data Analysis
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2025. Read more
Bayesian Spatio-temporal Modelling
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2025. Read more
Statistical modeling of high-dimensional financial time series
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2025. . Read more
Modelling stochastic processes in cancer evolution and healthy tissue with driver mutations
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2025. Read more
Including socioeconomic indicators into mathematical epidemic models
The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing in September 2025. Read more
Responsible AI for Health and Social Care and Wellbeing
The increasing generation, adoption and deployment of Artificial Intelligence (AI) technologies that could impact humanity raise continuously concerns from general public, regulatory bodies and industry. Read more
Research and data synthesis in different topics in ecology and evolution, including meta-science & methodolgical development
The PI will build an international hub or Centre for Open Science and Research Synthesis in Ecology and Evolution to revolutionize and improve scientific practises in ecology, evolution, and related fields, such as conservation and environmental sciences, by forming a large international collaborative network. Read more
Integrative AI-driven multi-omics analysis to decode the tumour microenvironment and its clinical implications in Non-Small Cell Lung Cancer
The project. With over 1.5 million deaths annually, non-small cell lung cancer (NSCLC) remains one of the leading causes of cancer-related mortality worldwide. Read more
Uncertainty-Aware AI Weather Forecasting
AI_CDT_DecisionMaking. Details. Weather forecasting is critical for a range of human activities including transportation, agriculture, industry, as well as the safety of the general public. Read more
Privacy and robustness in modern machine learning
AI_CDT_DecisionMaking. Details. The goal of this project is to investigate new methods to incorporate privacy and/or robustness in machine learning algorithms. Read more
Data-Driven Computational Sensing and Imaging
Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. Read more
Sensor Fusion and management in Autonomous Airborne Platforms
Sensor networks, sensor fusion and management techniques address key challenges in intelligence, surveillance, target acquisition, and reconnaissance (ISTAR). Read more