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We have 25 University of Birmingham Applied Mathematics PhD Research Projects PhD Projects, Programmes & Scholarships

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Mathematics

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University of Birmingham

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PhD Research Projects

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University of Birmingham Applied Mathematics PhD Research Projects PhD Projects, Programmes & Scholarships

We have 25 University of Birmingham Applied Mathematics PhD Research Projects PhD Projects, Programmes & Scholarships

Empirical Modeling in Financial Engineering

This project explores the decvelopment and application of empirical techniques in Financial Engineering. If you are interested, then please complete an application to the PhD in Applied Mathematics. Read more

Financial Engineering: Modelling and Methods

This project will explore the utility of various mathematical models within common financial instruments. If you are interested, then please complete an application to the PhD in Applied Mathematics. Read more

An experimental 3D volumetric study of train aerodynamics

The aerodynamic slipstream created as a high-speed passenger train moves through the air is highly turbulent in nature. In particular the wake region is known to contain a series of helical vortices, which spread laterally into the far wake region, potentially affecting the stability of trackside workers. Read more

Differential equation modelling to address male infertility

Infertility affects 1 in 6 couples, is emotionally devastating, and requires expensive and invasive treatments. Importantly, we place a significant and unequal burden on women, who often require risk-bearing procedures to address what is caused by, in 50% of cases, a male factor. Read more

Statistical inference for epidemics models

Mathematical models have been established as an important tool for capturing the features that drive the spread of a disease, predicting the progression of an epidemic and guiding the development of effective control strategies to prevent potential outbreaks. Read more

Mathematical Machine Learning for Molecular Modeling

Project description. This PhD project aims to develop Machine Learning methods for Molecular Modeling with a particular focus on aspects relevant to dynamics preserving coarse-graining strategies. Read more

High-fidelity CFD and data-driven modelling of aerodynamic noise sources

Applications are invited for one funded 3.5-year PhD studentship for the project titled “High-fidelity CFD and data-driven modeling of aerodynamic noise sources” in the group of Dr Zhong-Nan Wang at the University of Birmingham. Read more

Modelling Convergent, Divergent and Oscillatory Phenomena in Social Dynamics

If you are interested in building mathematical models to explain social phenomena in a variety of contexts, from flocking animals to interacting crowds, and you have a strong academic background in applied mathematics or a related discipline, then this project could be perfect for you. Read more

Funded PhD Opportunity: Pioneering Time Series Analysis Through Self-Normalisation

About the project. Techniques and Overview. In the intricate world of statistical analysis, accurately understanding the variance of temporally correlated data is crucial for reliable conclusions. Read more

Mathematical analysis of PDEs arising from modelling biological processes

Biological systems, in contrast to physical systems, exhibit a high level of complexity. Attempting to replicate their dynamics through mathematical models (system of differential equations) turns out to be quite challenging. Read more

Heads and Tails - Tracking the sperm's beating flagellum

Infertility affects 1 in 6 couples, is emotionally devastating, and requires expensive and invasive treatments. Importantly, we place a significant and unequal burden on women, who often require risk-bearing procedures to address what is caused by, in 50% of cases, a male factor. Read more

Brain-inspired See-Think-Act Intelligent Machines

There is an ongoing revolution in developing autonomous intelligence machines to greatly improve the effectiveness and efficiency of sensory perception, decision-making, and active control. Read more

Data-driven modeling for crowd dynamics

Predicting the behaviors of pedestrian crowds is of critical importance for a variety of real-world problems. Data driven modeling, which aims to learn the mathematical models from observed data, is a promising tool to construct models that can make accurate predictions of such systems. Read more

Data driven approaches for nonlinear inverse problems

The project aims to develop new techniques for solving complex inverse problems that arise in various scientific fields. In many real-world applications, such as medical imaging, geophysics, and material science, we often seek to recover the hidden properties of a system from indirect and noisy measurements. Read more

Adaptive Signal Processing for Dynamic Environments

In recent years the cost of many sensors has decreased, which combined with increased ease of use has led to a vast increase in the number of sensors being employed to measure increasingly complex environments. Read more

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more

Understanding eye-hand coordination in object interception - a computational modelling approach

This PhD project with Dr Yeo will focus on understanding how we perform interception. Interceptive movements--such as catching a gently thrown ball, quickly grabbing a tilting cup to avoid spilling or even just handshaking someone--feel like trivial everyday tasks for us that seemingly look too simple to study. Read more
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