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Mathematics PhD Projects, Programs & Scholarships in Manchester

We have 19 Mathematics PhD Projects, Programs & Scholarships in Manchester

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Showing 1 to 19 of 19
  Mathematical analysis of acoustic wave scattering in finite metamaterials.
  Dr A Kisil
Applications accepted all year round

Funding Type

PhD Type

The project concerns analytical methods of wave scattering problems in metamaterials with edges. Research work on the project will involve new mathematical analysis of the wave propagation problems and implementation of the developed analytical methods.
  Fast and Reliable Algorithms for High-Performance Numerical Linear Algebra
  Prof N. J. Higham
Applications accepted all year round

Funding Type

PhD Type

The project focuses on developing a new generation of numerical linear algebra algorithms that exploit current and future computers.
  Characterising B cells in Rheumatoid Arthritis: Their role in susceptibility, pathogenesis, and treatment response
  Dr S Viatte, Dr Gemma Radley, Prof A Barton
Applications accepted all year round

Funding Type

PhD Type

Background. Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that primarily affects the joints. In the UK, some patients who fail to respond to methotrexate (MTX) and TNF inhibitors (TNFi) are started on rituximab, and 20% will experience a favourable clinical response.
  Electro-catalysis over 2D materials
  Dr R Arrigo
Application Deadline: 28 February 2020

Funding Type

PhD Type

PhD Supervisor. Dr Rosa Arrigo, Lecturer in Inorganic Chemistry, University of Salford and Honorary Research Scientist, Diamond Light Source.
  Deciphering the neural code of the hippocampus
  Dr M Montemurro, Dr J Gigg
Applications accepted all year round

Funding Type

PhD Type

Background. The brain processes and stores information about our lives and the world that surrounds us. At the neural scale, information is encoded through the precise timing of activity across populations of neurons.
  Exploring the influence of proteogenomics in patients receiving biologic drugs for treatment of psoriatic arthritis
  Prof A Barton, Dr James Bluett, Dr N Nair
Applications accepted all year round

Funding Type

PhD Type

Background. Psoriatic arthritis (PsA) is an inflammatory arthritis, associated with the chronic skin condition psoriasis, which causes joint inflammation.
  Modelling of cleaning and decontamination problems on porous and absorbent substrates
  Dr J Landel
Applications accepted all year round

Funding Type

PhD Type

Cleaning and decontamination processes of surfaces can rely on different mechanisms to remove an unwanted patch of substance attached to a substrate.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  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.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Problems in large graphs (e.g., social networks, VANETs)
  Dr R Sakellariou
Applications accepted all year round

Funding Type

PhD Type

A number of interesting problems nowadays can be modelled by large graphs. For example, web links constitute a graph (google and the pagerank algorithm exploit properties of this graph), also facebook friendships, paper citation patterns and many more.
  Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Traditionally there are two main paradigms in machine learning, supervised vs. unsupervised learning.
  Zero-Shot Learning and Applications
  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.
  Multi-task Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

In traditional machine learning, a learning system can be trained to deal with a specific single task, while human is able to complete multiple tasks with the same learning strategy.
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
  Biologically-Plausible Continual Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Continual learning (aka lifelong learning) refers to a problem on how a learning system learns multiple tasks in succession over the lifespan where later tasks do not degrade the performance of the system learned for the earlier tasks and, ideally, the system can leverage the knowledge learned in previous tasks to facilitate learning the new tasks better.
  Machine learning to locate defects in ultrasonic inspection images
  Prof T Cootes, Dr M Fergie
Applications accepted all year round

Funding Type

PhD Type

It is important that manufactured components are inspected to identify defects which may cause early failure, particularly in safety critical systems.
  Mathematical modelling of immune cell host-pathogen interactions
  Dr P Paszek, Dr M Muldoon, Prof I Roberts
Applications accepted all year round

Funding Type

PhD Type

Mammals have central cellular defence systems that resist infection by a range of pathogens. These involve the NF-κB and STAT signalling systems, which we have shown to use dynamics and timing to encode pathogen-associated signals.
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