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We have 1,247 Mathematics PhD Research Projects for Self-funded Students
Mathematics PhD Research Projects for Self-funded Students
We have 1,247 Mathematics PhD Research Projects for Self-funded Students
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 for democratisation of MRI in medicine
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 for magnetic resonance imaging (MRI) in low-resource settings. Read more
Deep learning for black hole tomography
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 black hole imaging. Read more
PhD Studentship: Using Data-Driven Methods to Model Planetary Atmospheres and Oceans
Award summary . 100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). . Read more
Three-dimensional (3D) metamaterial structures
The aim of this project is to design, develop, and translate 3D nanoscale metamaterials for real-world applications. In this work, nanoscale particles can be assembled into macroscopic structures, creating a new class of materials where the desired properties are enhanced and scaled to a device level. Read more
NERC IAPETUS PhD Studentship: Laboratory modelling of internal tsunami generation due to ice calving
Award Summary. 100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). Significant additional funding given to cover laboratory costs and, national and international travel (conferences and collaboration). Read more
Statistical foundations of deep generative models
Deep generative models (DGMs) are a broad class of models that train deep neural networks to generate synthetic samples from a target distribution associated to a given training data set. Read more
AI-driven trustworthy energy advice for end users
The main research problem in this project will be to explore how AI tools can help domestic end users in their switch to renewable energy, and to do so in a trustworthy manner. Read more
AI for marine biodiversity monitoring
Co-supervisor. Professor Geoff Merrett. The project will explore new techniques in computer vision to enable AI on the “edge” i.e. Read more
Predicting Abrupt Atlantic Ocean Circulation Changes
Combining mathematical modelling, palaeoclimate observations and advanced climate model simulations, this exciting and cross-disciplinary project aims to unify the different theories on past and future abrupt climate changes and test the early warning detection of a tipping point in Atlantic Ocean circulation. Read more
E5 DTP - Data-driven Catalyst Optimization for CO2 Utilization Reactions
A PhD studentship is available in the groups of Dr Ephrath Solel Moroshko and Dr Antonia Mey, University of Edinburgh; School of Chemistry. Read more
Concrete under fire
Concrete remains one of the mostly widely used materials in the world and fundamental to society. However, it is also a huge contributor to greenhouse gas emissions representing 8% of global CO. Read more
Resilient Levees: The impact of changing climate on the performance of UK Flood Embankments
There is no more important challenge in engineering than that presented by climate change. This project aims to establish the vulnerability of the UK levee (flood embankment) network to the impacts of prolonged drought, intense rainfall and ever extreme inundation events. Read more