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Applied Mathematics (bridge) PhD Projects, Programs & Scholarships

We have 6 Applied Mathematics (bridge) PhD Projects, Programs & Scholarships

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  Communication through complex media: a novel interdisciplinary paradigm to bridge information theory and multiscale flow and transport theory
  Dr M Icardi, Dr G Gradoni
Applications accepted all year round

Funding Type

PhD Type

University of Nottingham. School of Mathematical Sciences. EPSRC DTP CASE PhD studentship in Applied Mathematics. Communication through complex media.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
  PhD project: Automation of seismic processing with machine learning
  Prof G Fabien-Ouellet
Applications accepted all year round

Funding Type

PhD Type

Seismic imaging is a powerful technology used by geologists and engineers to image soils and rocs.
  The Energetics and Dynamics of Fluid-Structure Interaction in Blood Vessels and Industrial Hoses (WHITTAKERR19SF)
  Dr R Whittaker
Application Deadline: 31 May 2019

Funding Type

PhD Type

Fluid-conveying elastic-walled tubes arise in many engineering and biomechanical systems. Examples include blood flow in veins and arteries, flow in the airways, and industrial fluid transport and pumping systems.
  Employing artificial intelligence & machine learning to optimise flood control for 21st Century cities
  Prof O Bokhove
Applications accepted all year round

Funding Type

PhD Type

Summary Rational and unique mathematical strategies for active flood control will be developed and tested in the design of flood alleviation schemes for UK rivers, such as Yorkshire’s Aire and Calder Rivers, based on increasing flood-plain storage capacity.
  Zero-Shot Learning and Applications - investigating effective zero-shot learning techniques as fundamental research and their applications in real world problems
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
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