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We have 230 Applied Mathematics PhD Projects, Programmes & Scholarships for Non-European Students
Applied Mathematics PhD Projects, Programmes & Scholarships for Non-European Students
We have 230 Applied Mathematics PhD Projects, Programmes & Scholarships for Non-European Students
Stochastic simulation, analysis, and inference for non-linear dynamical systems
This project aims to create a new modelling framework for describing systems that exhibit non-linear dynamics, such as oscillations or multiplicity of equilibria. Read more
Artificial Intelligence for Environmental Fluid Dynamics Modelling
Supervisory Team. Gustavo de Almeida and Dr Sergio Maldonado. This PhD project explores the use of Physics-Informed Neural Networks (PINNs) to solve environmental flow problems, including the 2D Shallow Water Equations. Read more
Quantum computing for large-scale stochastic optimisation in energy system planning
This project is part of the EPSRC Center for Doctoral Training in Quantum Technology Engineering at the University of Southampton (https://qte.ac.uk/). Read more
Causal AI in understanding medical images
We are seeking a highly motivated PhD student to work at the intersection of academia and industry through the CHAI Hub (Causality in Healthcare AI), a newly founded EPSRC AI hub. Read more
Physics-Informed Neural Networks for control of compliant robotic systems
We are seeking a highly motivated PhD candidate to join our interdisciplinary Artificial intelligence, Robotics and Mechatronic Systems Group (ARMS), to advance the modelling and control of complex, compliant robotic systems using Physics-Informed Neural Networks (PINNs). Read more
Global glacier mass change
Summary. This project will investigate the mass loss of glaciers globally from 2010 to present time. Project background. Glaciers distinct from the Greenland and Antarctic ice sheet are a major contributor to current sea level rise and are projected to remain so until the end of the 21st century (Rounce et al., 2023). Read more
Modelling stochastic emergence of antibiotic resistance in bacterial populations
Bacterial evolution of antibiotic resistance within patients can compromise the efficacy of antibiotic treatment and represents a serious threat to public health. Read more
Mathematical models of RNA and protein dynamics and their integration with gene expression data
A gene regulatory network involves a set of genes interacting with each other to control cellular functions. For example, in autoregulation, a protein expressed from a gene activates or suppresses its own transcription, thereby regulating the number of proteins through negative or positive feedback [1]. Read more
Understanding and mitigating instability in low-precision training of large models
Research Group:
School of Computing
In the last decade, advancements in machine learning have been driven by the development of purpose-built hardware accelerators. In the last couple of years, however, the size of models has increased at a pace that hardware progress alone has not been able to match. Read more
Bifurcation and pattern formation on the surface of biological cells
Biological cells dynamically create, maintain, and disassemble cell surface structures that determine their shape and behaviour, such as directed migration. Read more
High performance frequency solver for blade-tip/casing contacts
This Ph.D. project is part of an international research collaboration involving Siemens Energy, Safran group, and the Laboratory of Acoustics and Vibration Analysis in Polytechnique Montréal. Read more
(Bicentenary) Applying a multidisciplinary approach to uncover the mechanisms underpinning successful regeneration of the spinal cord after injury
This exciting interdisciplinary project aims at understanding how some organisms successfully achieve spinal cord (SC) regeneration, a long-standing question with profound implications for human health. Read more
(Bicentenary) Utilizing machine learning to decipher the mechanism of protein-DNA binding
The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more
(Bicentenary) Novel machine learning methods for single cell multiomics data with applications to human upper GI development
Single-cell multiomics technologies enable the profiling of different components of transcriptional machinery at single-cell resolution, such as paired RNA and chromatin accessibility. Read more
[FSE Bicentenary PhD] Anatomy of Critical Unstable Qubits
The central objective of the project will be to systematically analyse in depth a novel class of unstable qubits, which were discovered recently by the Principal Supervisor* and are called Critical Unstable Qubits (CUQs). Read more