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We have 147 Mathematical Modelling PhD Projects, Programmes & Scholarships for Self-funded Students
Mathematical Modelling PhD Projects, Programmes & Scholarships for Self-funded Students
We have 147 Mathematical Modelling PhD Projects, Programmes & Scholarships for Self-funded Students
Impairment of cerebral blood flow regulatory mechanisms in stroke: the influence of stroke sub-type, severity and location
Cerebral Haemodynamics in Ageing and Stroke Medicine (CHiASM) Research Group of the Department of Cardiovascular Sciences has an international reputation for leading research on cerebral haemodynamic alterations resulting from ischaemic and/or haemorrhagic stroke. Read more
Solutions for Carbon Capture and Storage: Quadrupolar Solvency and Association
Description. Carbon capture and storage (CCS) is hoped to provide a major chunk of humanity's effort to deal with the climate crisis. Read more
Fully-funded PhD Studentship in the Radiological Characterisation of Contaminated Land
This project addresses the requirement to detect and quantify beta-emitting activity in contaminated land and liquid effluents. Strontium-90 and hence… Read more
Mapping Preterm Sleep Microstructure and EEG Biomarkers for Early Neurodevelopmental Risk Assessment. MRC GW4 BioMed DTP PhD studentship 2025/26
Project Summary. Sleep is crucial for early brain development, yet preterm infants often have disrupted sleep patterns that may impact their long-term outcomes. Read more
Machine Learning for Resilient Operation of Cybersecurity Systems
Are you interested in machine learning and data science and their application to cybersecurity? We have a PhD project fully funded by the DSTL (Defence Science and Technology Laboratory) at The University of Sheffield, part of the prestigious UK Russell Group of Universities in the UK. Read more
Transition modelling for improved correlation between wind tunnel tests and CFD
Supervisory Team: Dr. David Angland & Dr Zhiwei Hu. Project description. A PhD studentship is now available in transition modelling and predicting for bluff body flows. Read more
Development of an Anthropomorphic Phantom for PErsonalised Radioimmunotherapy (DAPPER)
Supervisory Team: Dr. Orestis Katsamenis, Dr. Charles Burson-Thomas, Dr. Sofia Michopoulou, (Faculty of Medicine & University Hospital Southampton), Dr. Read more
Beyond self-similarity in turbulence (REF: AE0054)
Richard Feynman famously quoted ’turbulence is the most important unsolved problem of classical physics’. Understanding and modelling turbulent flow physics will unlock a vast potential for optimising many applications of the energy and transportation sectors. Read more
Multi-modal spatial data integration to predict breast cancer treatment response
Research Group:
Ali Group
Overview. Dr Raza Ali wishes to recruit a student to work on the project entitled. "Multi-modal spatial data integration to predict breast cancer treatment response". Read more
Investigate cytoskeletal networks controlling cancer cell migration at the systems level.
Cell migration is fundamental for the existence of multicellular animals, including humans, as certain cells migrate throughout the embryo to form specific tissues. Read more
High speed ‘laminar’ flows for laser and hypersonic applications.
About the PhD Project. The project is to contribute to a major EPSRC research programme intended to develop generation after next technologies for applications in defence and security, and this project will be co-funded by QinetiQ. . Read more
Study of ionospheric propagation disturbances
The Department of Chemical Engineering at the University of Bath is inviting applications for the following fully funded PhD project, which includes a studentship covering Home tuition fees, access to a training budget, and a stipend at the UKRI rate. Read more
Last chance to apply
Self Learning Digital Twin for Lung Disease Management
Project Highlights. Integration of medical data streams. Physics-informed neural networks. Clinical decision support systems. Project. Read more
ACS-99-OPEN - Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing
Background. Smart manufacturing, a broad category of manufacturing that employs digital information, flexible skilled workforce training, and computer-integrated systems, has become the primary pathway for transforming and upgrading manufacturing industry in the coming decades. Read more
Dynamic digital scheduling for optimal outfitting of naval ships
During the manufacture of a modern naval ship, one aim is to maximise the amount of equipment, pipework, etc. installed during the initial build process. Read more