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We have 376 Mathematical Modelling PhD Projects, Programmes & Scholarships
Mathematical Modelling PhD Projects, Programmes & Scholarships
We have 376 Mathematical Modelling PhD Projects, Programmes & Scholarships
Funded PhD NERC GW4+ DLTP - Responsive building by social insects: how do ants reshape their nest architecture in response to the environment?
Some species of social animals build impressive large-scale structures, from the elaborate nests of termites to man-made cities. Read more
Funded PhD NERC GW4+ DLTP - Forests on the edge: examining vegetation recovery following climate extremes
Climate change is rapidly transforming the growing conditions of terrestrial ecosystems, with widespread evidence of more frequent, intense, and prolonged droughts and heatwaves. Read more
Predicting and monitoring the health of Lake Wairewa using spatio-temporal early warning signals
Do you want to do genuinely interdisciplinary research at the interface of applied mathematics, biology and freshwater ecology? . Read more
Uncover the form-function relationship of paediatric hip joint deformities using personalised FEA models
Interested in PhD study at the ABI? Join our webinar this Thursday to find out more and ask any questions you might have. To accelerate the generation of patient-specific bone and joint modelling, our team have developed statistical shape and density models of children lower limbs pelvis, femur and tibia. Read more
Computable model reuse improves credibility
Interested in PhD study at the ABI? Join our webinar this Thursday to find out more and ask any questions you might have. Model credibility is a critical determinant for successful clinical translation. Read more
Image-based modelling of lithium-ion batteries (S3.5-ELE-Drummond)
Lithium-ion batteries are popular forms of electrical energy storage devices, as they combine high energy and power densities with relatively long lifespans and cheap costs. Read more
Mathematical models of contact mechanics
The project. This project aims to resolve the computational difficulties that arise in Finite Element modelling of mechanical structures involving joints and surfaces that impact or slip against each other. Read more
Mathematical and computational modelling of organoids
The project. Organoids, miniature organ-like structures cultivated in the lab from stem or progenitor cells, have huge potential for biomedical research and tissue engineering. Read more
Generic Modelling Method for Control of Large-Scale, Flexible, Distributed Systems
The project. This PhD topic aims to develop a unified framework, for instance, using an energy-based approach, to formulate control problems for large-scale, flexible, distributed systems. Read more
Physics-informed machine learning
The project. Many modern machine-learning architectures require significant amounts of data for training and validation. In the physical sciences, experimental data is often sparse and hence machine learning models must be supplemented by constraints that go beyond observational data alone. Read more
AI insights for Alzheimer's disease: unveiling cellular mechanisms for drug discovery
The project. This project is dedicated to advancing our understanding of Alzheimer's disease through the application of AI models, specifically focusing on deep learning techniques. Read more
Investigating shared space safety and level of service using microscopic and macroscopic models for cyclist, pedestrian, and e-scooter traffic
The project. Shared spaces are used by more than one transport mode. While most research has focussed on shared spaces involving the dominant mode, motorised vehicles, settings in which only active transport modes, such as pedestrians and cyclists mix are far more common. Read more
Inverse problems in sensory biology
The project. Insects explore the world using a variety of senses – vision, hearing, olfaction (smell), touch, taste and more. Read more
Singularities in dynamical systems and pattern formation
The project. Singularities are incredibly important to all kinds of systems, not just because they create extraordinary points like black holes in space, but because they organise much of the structure and patterning of much more ordinary objects and behaviours around us. Read more
Mathematics of deep learning
The project. Deep neural networks and other related neural network topologies, such as transformers, graph neural networks have been very successful as function approximators for tasks, such as image recognition, motion tracking, large language models, etc. Read more