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University of Birmingham Applied Mathematics PhD Projects

We have 13 University of Birmingham Applied Mathematics PhD Projects

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Showing 1 to 13 of 13
  The climatology of thunderstorm downbursts
  Prof Mark Sterling, Prof G Kopp, Dr M Jesson
Applications accepted all year round

Funding Type

PhD Type

Thunderstorm downbursts are relatively short-lived, extreme winds which can result in wind speeds matching those of medium-strength tornadoes.
  Computational and Polymer Sciences to Engineer Microbial Physiology
  Dr S Jabbari, Dr F Fernandez-Trillo
Application Deadline: 31 July 2020

Funding Type

PhD Type

Mathematical modelling and statistical inference are key tools in understanding the life sciences. In this project, we will develop differential equation models and apply statistical inference techniques to understand how polymers can be engineered to be of practical use in microbiology.
  Engineering Microbial Physiology through Polymer and Computational Sciences
  Research Group: Materials Chemistry
  Dr F Fernandez-Trillo, Dr S Jabbari
Application Deadline: 31 July 2020

Funding Type

PhD Type

Recently, there has been an increasing use of polymers to interface with bacteria and other microorganisms, either to treat microbial infections, to prevent and control biofilm formation, or as a platform to grow and maintain microbial cultures for biotechnology.
  Adaptive numerical algorithms for PDE problems with random input data
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with uncertainty in input data.
  Adaptivity and machine learning techniques for PDE problems with uncertain inputs
  Dr A Bespalov
Applications accepted all year round

Funding Type

PhD Type

PhD Studentship in Numerical Analysis and Scientific Computing. The project concerns numerical solution of partial differential equations (PDEs) with parametric uncertainty in input data.
  Dynamic interplay of cell shape and tumour evolution
  Dr F Spill, Prof I Tomlinson
Applications accepted all year round

Funding Type

PhD Type

Tumour cells are long known to appear in vastly diverse shapes, both across patients and within a single tumour. This is in stark contrast to the regularity of cell shapes of healthy epithelial tissues from which most tumours originate.
  Mathematical Modelling of Cancer-Cell Transmigration Through Blood Vessels
  Dr F Spill
Applications accepted all year round

Funding Type

PhD Type

Cancer rarely kills through the primary tumour in which cancer arises, e.g. the prostate in prostate cancer. Instead, cancer cells may travel through the vasculature and colonialize distant organs – a process termed metastasis.
  Numerical Algorithms for Molecular Systems and Data Science
  Dr X Shang
Applications accepted all year round

Funding Type

PhD Type

Details. Stochastic differential equations (SDEs) are widely used in science and engineering in order to model systems where random effects play a significant role.
  Reprogramming of life and death pathways in cancer through unfavourable interactions with healthy cells
  Dr F Spill, Dr D Tennant
Applications accepted all year round

Funding Type

PhD Type

Cells utilise intracellular molecular networks to perform all their essential functions. These functions include the processing of food and generation of energy to live, grow and divide.
  Shape Transforming Active Microfluidics
  Dr T Montenegro-Johnson
Applications accepted all year round

Funding Type

PhD Type

The student will be joining part of a large interdisciplinary team working on the Leverhulme Trust funded project "Shape-Transforming Active Microfluidics", led by Dr Tom Montenegro-Johnson, which will comprise around 4 PhD students, 4 Postdoctoral Research Associates, and an Artist in Residence.
  Stochastic Multiscale Model of Evolutionary Competition of Molecules
  Dr F Spill
Applications accepted all year round

Funding Type

PhD Type

Oligonucleotides are not only the careers of genetic information. They can also form complex 3D structures with diverse chemical properties.
  Improving design against fatigue
  Dr H Basoalto
Applications accepted all year round

Funding Type

PhD Type

Fatigue life prediction in the aerospace components relies on fracture mechanics for relatively long cracks (>1mm). Nevertheless, most of the fatigue life is spent while the crack is relatively short (.
  Size effects in pure and alloyed metals under dynamic loading
  Dr B. Gurrutxaga-Lerma
Applications accepted all year round

Funding Type

PhD Type

The strength of metals and metallic alloys is usually thought to be independent of the system’s geometry and dimensions. However, at the micron scale this ceases to be true.
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