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We have 161 Mathematical Modelling PhD Projects, Programmes & Scholarships for Self-funded Students
Mathematical Modelling PhD Projects, Programmes & Scholarships for Self-funded Students
We have 161 Mathematical Modelling PhD Projects, Programmes & Scholarships for Self-funded Students
Stochastic analysis of many body systems
This project is one of a number that are in competition for funding from the University of Bath URSA competition for entry in September 2025. Read more
Faculty of Science URSA PhD Project: Machine Learning Methods for Invariant Representations of High-dimensional Data
This project is one of a number that are in competition for funding from the University of Bath URSA competition, for entry in September 2025. Read more
Hybrid data-driven and physics-based models for medicines manufacturing
The application of Artificial Intelligence (AI) in manufacturing is quickly developing in many fields. Read more
Hetero-dimensional cardiovascular digital twins for precision medicine
Interested in a rewarding career in bioengineering? Get sponsored to do life-changing research in New Zealand. Read more
(MRC DTP CASE) Precision modelling approaches to understand variance in brain plasticity
Life expectancy in the UK has increased by roughly 30 years in the past century and, combined with a decrease in fertility rates, has led to a proportional increase in middle/older aged adults. Read more
Studies in acoustic interactions with liquid drops
An ultrasonic monitoring system has been built that is able to characterise liquids based on the growth of pendant liquid drops [1]. Read more
Modelling of buoyancy control for new generation aircraft
Aircraft research is in a state of transition, with a much broader range of possible new aircraft technologies under investigation than ever before. Read more
Machine Learning and Domain Decomposition methods for Fluid Dynamics
Modelling of many modern applications leads to linear systems whose size is too large to allow the use of direct solvers. Thus, parallel solvers are becoming increasingly important in scientific computing. Read more
Development of ignition systems for energy systems
There have been consistent efforts in developing more fast and efficient combustion. Microwave discharges are widely used for plasma-assisted ignition of air/fuel mixtures. Read more
Fast Algorithms for Huge Dynamic Graphs
The project will be aligned with the EPSRC Centre for Doctoral Training CDT in Distributed Algorithms:The What, How and where of Next-Generation Data Science. Read more
(MRC DTP) Exploring the Impact of Ethnicity on Patient Pathways and Outcomes in Multiple Sclerosis: Insights from UK Registry Data
Multiple Sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system, leading to a range of physical and cognitive impairments. Read more
(MRC DTP) Computational and experimental strategies for optimising the generation of human therapeutic relevant cells
Blood transfusions, bone marrow stem cell transplants, and immunotherapies are essential in treating cancer and various other diseases. Read more
(MRC DTP) Investigating brain plasticity in response to brain tumours using simultaneous synaptic Positron Emission Tomography (PET) and advanced Magnetic Resonance Imaging (MRI)
This PhD project is best suited for a student with a background in Physics or Engineering wishing to apply their quantitative skills to improve the understanding of the diseased brain. Read more
(MRC DTP) Understanding mechanisms of cell vulnerabilities identified in Notch driven breast cancer
Understanding the molecular basis of an individual's cancer and tailoring therapy accordingly is an approach which has in some cases led to reduced mortality. Read more
Project Q1217: Machine Learning and Bayesian Modelling Approaches for Big Data in Beef Agriculture & Food Production (Dr Arran Hodgkinson, Queen’s University Belfast)
Machine learning (ML) is an invaluable modern technique whose insights, leveraged against large-scale databases tracking agricultural practices and outcomes, could radically change farming practices, both to the benefit of livestock and farmers, alike. Read more