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Applied Mathematics PhD Projects, Programs & Scholarships

We have 376 Applied Mathematics PhD Projects, Programs & Scholarships

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  Applications of topology to soft matter physics
  Dr M Grant, Dr R Hepworth
Applications accepted all year round

Funding Type

PhD Type

This project will address mathematical problems in the research field of algebraic topology, inspired by the theory of topological defects in soft materials.
  Applied Algebraic Topology in Geometry
  Dr R Hepworth, Dr M Grant
Applications accepted all year round

Funding Type

PhD Type

In recent years the techniques of algebraic topology have been applied to data analysis with great success, and the resulting subject areas of Applied Algebraic Topology and Topological Data Analysis have seen rapid growth.
  Chaos and fractals in fluid motion
  Dr A Moura, Prof C Grebogi
Applications accepted all year round

Funding Type

PhD Type

The advection of particles and fields by fluid flows is a problem of great interest for both fundamental physics and engineering applications.
  Statistical physics of DNA replication
  Dr A Moura, Prof C Romano
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to apply statistical physics and probability theory to the problem of DNA replication in living cells.
  Advanced design of fibre reinforced composites - using multiscale reliability analysis and optimisation
  Dr P Dunning, Dr S Sriramula
Applications accepted all year round

Funding Type

PhD Type

This project aims to advance the design of components made from fibre reinforced composite materials, by combining techniques in multiscale analysis, structural reliability and design optimisation.
  Automated 3D Data Analysis using Artificial Intelligence - (studied by Distance Learning)
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The oil & gas sector and health sector has massive data sets in the form of seismic data and the health sector in MRI data that it needs to analyse in order to identify the location of hydrocarbons and also to assess the risk for drilling operations in a particular area, or to diagnose underlying health conditions.
  Automated Big Data Analysis - (studied entirely by Distance Learning)
  Dr A Starkey, Dr M N Campbell-Bannerman
Applications accepted all year round

Funding Type

PhD Type

The amount of data in today’s world is ever increasing, and has even led to new terms describing this as in Big Data.
  Autonomous learning with Artificial Intelligence - (studied entirely by Distance Learning)
  Dr A Starkey, Dr M Giannaccini
Applications accepted all year round

Funding Type

PhD Type

Autonomous learning has become one of the latest buzzwords in today’s artificial intelligence and robotics. All the same, to realise the behaviour of even the simplest creature like a unicellular organism in an artificial agent remains extremely challenging with current artificial intelligence techniques.
  Combine Digital Rock Technology and AI to Identify Remaining Hydrocarbon potential
  Dr K Wu, Dr A Starkey
Applications accepted all year round

Funding Type

PhD Type

Recent advances in multiscale digital rock technology have made it possible to quantify the spatial distribution of wettability and model the heterogeneous 3D microstructures of reservoir rocks at large scale.
  Constrained Control of Nonlinear Engineering Systems in The Presence of The Delay
  Dr V Vaziri, Dr S S Aphale
Applications accepted all year round

Funding Type

PhD Type

The real world is inherently nonlinear, and particularly in mechanical systems this nonlinearity arises from one or more of the following reasons.
  Control of nonlinear systems motivated by linear control theory
  Dr S S Aphale, Dr V Vaziri
Applications accepted all year round

Funding Type

PhD Type

Improvements in hardware and software tools has facilitated the probing, understanding and control of complex nonlinear system dynamics.
  Design of lightweight stiffened shell structures using topology optimisation
  Dr P Dunning, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop topology optimisation methods for the design of lightweight stiffened shell structures. Shell structures are often stiffened using elements, such as ribs, to improve their structural efficiency in supporting the applied loads.
  Developing geospatial methods for resource assessments of renewable energy technologies
  Prof R McKenna, Dr A Maheri
Applications accepted all year round

Funding Type

PhD Type

Energy planning processes require detailed data relating to the technical potential and associated costs of renewable energies. These data are employed by stakeholders and researchers to inform decision-making relating to future energy systems.
  Development of empirical and damage predictive models, for protective structures, under extreme loading
  Dr M Aleyaasin, Dr Amir Siddiq
Applications accepted all year round

Funding Type

PhD Type

Protective structures are the scarifying layers that can respond to severe loading, such as fire or explosion or missile impact or combination of such loads.
  Digital twin in micromachining through multiscale simulation
  Dr H Tan, Dr Amir Siddiq
Applications accepted all year round

Funding Type

PhD Type

Digital twin technology in manufacturing is the simulation technology that integrates multi-disciplinary, multi-physical quantity, multiscale and multi probability by making full use of the physical model, monitoring update, operation history and other data.
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