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We have 18 University of Birmingham, School of Mathematics PhD Projects, Programmes & Scholarships
University of Birmingham, School of Mathematics PhD Projects, Programmes & Scholarships
We have 18 University of Birmingham, School of Mathematics PhD Projects, Programmes & Scholarships
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Optimizing Deep-Learning Solutions for Computational Imaging
The Statistics and Data Science group in the School of Mathematics, University of Birmingham, is recruiting a PhD student working on the cutting-edge data-driven algorithms for solving imaging inverse problems. This research aims at improving the quality of imaging via advancing the state-of-the-art reconstruction algorithms. Read more
Funded PhD Opportunity: Pioneering Time Series Analysis Through Self-Normalization
Techniques. In the intricate world of statistical analysis, accurately understanding the variance of temporally correlated data is crucial for reliable conclusions. Read more
Bayesian Computation for Comparative Judgement Models
Comparative judgement models have been to used to analyse a wide range of problems from predicting the outcomes of football leagues to assessing students. Read more
Bayesian Computation for Epidemic Models
Mathematical models of infectious disease transmission continue to play a vital role in understanding, mitigating, and preventing outbreaks. Read more
Bayesian Nonparametric Methods for Multiple Systems Estimation
Estimating population size is a common problem in statistics with many well-established methods. However, these methods rely on strict assumptions about the structure of the population. Read more
Topological Methods in Computer Science
The tight link between topology and computability is well-known and has been investigated extensively. Nonetheless, when the topological spaces involved do not have favorable properties (e.g, when they are not locally compact) the classical methods are not adequate for laying a computational foundation. 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
Mathematical modelling of dynamics of a cloud of microbubbles for October 2023 entry
Cavitation typically takes place in a cloud of a billion microbubbles, which usually take spherical shapes due to strong surface tension. Read more
Mathematical modelling of cavitation development for October 2023 entry
Background to the Project. Cavitation generation has been much of a mystery for more than a century. A core unresolved challenge is how bubble growth subject to acoustic forcing occurs over millions of cycles of oscillation, which cannot be simulated by any CFD packages. Read more
Project title: Mathematical modelling for dynamics of encapsulated microbubbles for October 2023 entry
Background to the Project. Cancer drugs are usually toxic and kill both cancer cells and healthy ones, but typically less than 0.5% of the drug dose reaches cancer cells. Read more
Numerical Algorithms for Molecular Systems and Data Science
Details: . Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role. Read more
Numerical Algorithms and Analysis for Deterministic and Stochastic Systems
Details. Complex systems in biology, chemistry, and physics are often modelled using ordinary/partial/stochastic differential equations. 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
Unify Mirror Construction and Mirror Theorem
Mirror Symmetry is a deep duality coming from physics. It intertwines algebraic geometry with symplectic geometry. On the so-called A-side of the mirror there is a symplectic manifold and on the so-called B-side of the mirror there is a family of complex algebraic varieties. Read more
Extremal graph theory
Extremal graph theory is one of the most active and dynamic branches of combinatorics. The fundamental goal of the area is to understand what conditions force a graph to contain some substructure. Read more
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