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Applied Mathematics PhD Projects, Programs & Scholarships in Reading

We have 13 Applied Mathematics PhD Projects, Programs & Scholarships in Reading

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Showing 1 to 13 of 13
  PhD in Equatorial waves and Tropical cyclons
  Dr K Hodges, Dr G-Y Yang
Applications accepted all year round

Funding Type

PhD Type

Tropical Cyclones and equatorially-trapped waves are two major components of tropical weather systems. They are responsible for not only high impact weather events (such as extreme precipitation and high speed winds) in the tropics but also weather events in the extratropics through teleconnections.
  How predictable are Arctic cyclones?
  Dr K Hodges
Applications accepted all year round

Funding Type

PhD Type

The area of proposed research is the predictability of Arctic cyclones.
  What are the impacts of future changes in Tropical Cyclone activity in the Arabian Sea
  Dr K Hodges, Dr R Schiemann, Dr AG Turner
Applications accepted all year round

Funding Type

PhD Type

Arabian Sea Tropical Cyclones (TCs) occur once or twice per year on average. Yet they have significant impacts, through their intense rainfall, strong winds and storm surges, on the coastal regions of Oman, Yemen, Somalia, Pakistan and western India.
  PhD in snow microphysics
  Dr C Westbrook
Applications accepted all year round

Funding Type

PhD Type

The formation and evolution of ice particles (snowflakes) in clouds is an important problem in atmospheric physics. Ice particles in clouds influence the radiation budget of the earth.
  New models of Outer Radiation Belt Dynamics
  Dr C Watt
Applications accepted all year round

Funding Type

PhD Type

The Department hosts a vibrant Space and Atmospheric Electricity group whose research interests span the remit of Space Weather from the Sun through the heliosphere to Earth.
  Deep Neuroevolution for Multi-task Learning
  Dr G DiFatta, Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

There is an opportunity to apply for a PhD student position in Machine Learning. The overarching aim of this project is to contribute to theory and applications of machine learning with effective deep Neuroevolution algorithms and optimization methods.
  Learning to Learn: Multi-Task learning, transfer learning and meta-learning
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

Multi-task learning, transfer learning, and meta-learning are three dimensions (sub-fields) of learning techniques, strategies and frameworks currently being investigated in machine learning communities.
  Modelling the cardiovascular side-effects of anaesthesia
  Prof I Bojak
Applications accepted all year round

Funding Type

PhD Type

"Propofol is currently the anaesthetic most commonly employed in surgical operations. However, it has a variety of cardiovascular side-effects that are potentially life-threatening, in particular for fragile patients.
  Understanding the Electric Field in Electrical Stimulation for biomedical application
  Prof W Holderbaum, Prof S Nasuto
Applications accepted all year round

Funding Type

PhD Type

"Functional electrical stimulation (FES) is a treatment that applies small electrical charges to a muscle that has become paralysed or weakened, due to damage in your brain or spinal cord.
  Son preference and sex selection: Diffusion processes and re-evaluation of policies in India.
  Dr S Dubuc
Applications accepted all year round

Funding Type

PhD Type

Amartya Sen’s seminal article ‘More Than 100 Million Women Are Missing’ in 1990, brought the topic of sex-selection against females to global attention and inspired academic work in the field1.
  Multi-objective optimization data analytics for decision support in exploring different system designs
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Many data modeling problems can be formulated as standard optimization problems in which a scalar cost function is minimized with respective to some parameters in system design.
  Robust Deep Time Series Model Selection for Effective Decision Support
  Prof X Hong
Applications accepted all year round

Funding Type

PhD Type

Time series data consists of sampled data points taken over time. Time series modeling and prediction are one of the most fundamental problems and have been subject to intensive researches.
  The Economics of Superstars: Wages in Sport - understanding using primary data the changes over the postwar period in sport for its foremost performers
  Dr J Reade, Dr S Jewell
Applications accepted all year round

Funding Type

PhD Type

The work of Sherwin Rosen (1981) established a literature on the economics of superstars - an attempt to explain the very high premia top performers in a given field are able to attract.
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