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Applied Mathematics PhD Projects, Programs & Scholarships in Warwick

We have 12 Applied Mathematics PhD Projects, Programs & Scholarships in Warwick

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  Warwick’s MRC-Funded DTP in Interdisciplinary Biomedical Research

Funding Type

PhD Type

Fully funded four-year studentships are available for September 2020 to join Warwick's MRC-funded Doctoral Training Partnership (DTP).
  Investigating Transport System Risks due to Cyber-Physical Security Threats
  Prof S Shaikh, Dr H Nga Nyguen
Application Deadline: 30 June 2020

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will be joining the project ‘Investigating Transport System Risks due to Cyber-Physical Security Threats’ in the Systems Security Group at Coventry.
  University of Warwick Centre for Doctoral Training in Mathematics for Real-World Systems

Funding Type

PhD Type

The MathSys programme provides students with the state-of-the-art mathematical modelling skills critical to address today's challenges in biomedicine and health sectors, modern industry and the digital economy.
  Deep Reinforcement Learning for Smart Steel Processing
  Research Group: Data Science
  Prof C Davis, Prof G Montana
Applications accepted all year round

Funding Type

PhD Type

Sequential decision making describes a situation where the decision maker makes successive observations of a process before a final decision is made.
  Statistics of porous media attributes and mixing processes state variables across scales
  Dr M Mousavi-Nezhad
Applications accepted all year round

Funding Type

PhD Type

Typical observations of porous media attributes arise from a variety of techniques which have their own spatial resolution and associated uncertainty.
  Heterogeneous materials in extreme environments: multiscale models of chemo-mechanical processes
  Dr L Figiel
Applications accepted all year round

Funding Type

PhD Type

Extreme volumetric expansion, high temperature gradients, and/or high-frequency vibrations can compromise structural integrity and safety of modern electronic systems (e.g.
  Gone in a flash: Femtosecond laser ablation of nanostructured alloys
  Dr P Brommer
Applications accepted all year round

Funding Type

PhD Type

Laser ablation, the removal of material with intense light pulses, is an important subtractive manufacturing technique. Femtosecond (10-15 s) laser pulses can result in superior quality of e.g.
  Adaptive probabilistic meshless methods for evolutionary systems
  Dr T Sullivan
Applications accepted all year round

Funding Type

PhD Type

This project will develop and implement a new class of numerical solvers for evolving systems such as interacting fluid-structure flows.
  Microplastics in Drinking Water: Tap vs Bottled water
  Dr A Bogush
Applications accepted all year round

Funding Type

PhD Type

Coventry University (CU) is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The studentship will commence in either May or September 2020, depending on availability of the successful applicant.
  Three-Dimensional Active Liquid Crystals: Defects and Topology
  Dr GP Alexander
Applications accepted all year round

Funding Type

PhD Type

Active matter is a class of materials in which the individual constituents continually consume energy to generate work or motion, maintaining the system in dynamic, self-organised, nonequilibrium states [1].
  Micro-rheology of active matter
  Dr V Kantsler, Prof R C Ball
Applications accepted all year round

Funding Type

PhD Type

The project concerns microrheology of active matter - to study properties of biological microscopic constituents and its complex environment via optical microscopy and microfluidic methods.
  Network Inference and Machine Learning: Identification of Diseases-gene Regulation
  Dr F He
Application Deadline: 29 May 2020

Funding Type

PhD Type

Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship. The successful candidate will join the project ‘Network inference and machine learning.
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