University of East Anglia Featured PhD Programmes
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math PhD Projects, Programs & Scholarships

We have 14 math PhD Projects, Programs & Scholarships

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  James Watt PhD Studentship in Ultrathin Optical Devices for Polarimetric Imaging
  Dr X Chen
Applications accepted all year round

Funding Type

PhD Type

Polarization of light contains valuable information that is usually absent in colour and intensity.
  14 fully funded PhD studentships in Pure Mathematics, Statistics and Operational Research

Funding Type

PhD Type

Following substantial recent investment in the Mathematical Sciences at Lancaster University, we invite applications for up to 14 fully funded PhD studentships in Pure Mathematics, Statistics and Operational Research for entry in October 2020.
  Join QBM and work on an innovative interdisciplinary life science project!

Funding Type

PhD Type

Our Graduate School invites excellent students from all over the world and different primary disciplines that range from Medical Science, Biology, Biochemistry, Engineering, Bioinformatics, Physics to Applied Math, to work on an interdisciplinary PhD project in life science.
  Dynamics of Midlatitude and Tropical Convective Storms
  Prof D Schultz, Prof G Vaughan, Dr L Garcia-Carreras
Applications accepted all year round

Funding Type

PhD Type

Convection is ubiquitous in the atmosphere. Although the ingredients of deep moist convection are well known (lift, instability, and moisture), how those ingredients come together to produce the observed panoply of convective storms worldwide remains an active area of research.
  Targeting the neural and behavioural dynamics of cognitive control
  Dr C Erb
Applications accepted all year round

Funding Type

PhD Type

A PhD position in the area of cognitive neuroscience is available within the University of Auckland, New Zealand.
  Nonlinear and nonlocal partial differential equations
  Dr H Duong
Applications accepted all year round

Funding Type

PhD Type

PhD Project. nonlinear and nonlocal partial differential equations. Project description. Complex systems in nature and in applied sciences are often described by nonlinear and nonlocal partial differential equations (PDEs).
  Computational identification of new functional materials combining machine learning and structure prediction
  Prof M J Rosseinsky, Dr G Darling, Dr M Dyer
Application Deadline: 31 July 2020

Funding Type

PhD Type

New higher performance functional materials are needed to improve the energy efficiency and sustainability of society, for example in battery technology, solar harvesting of energy, and catalysis for sustainable manufacturing.
  Designing efficient search strategies for new material discovery in complex phase and data space
  Prof M J Rosseinsky, Dr J Claridge, Dr M Gaultois
Application Deadline: 31 July 2020

Funding Type

PhD Type

As we search for higher-performance materials with a particular function, we need to explore systems that contain more chemical elements, referred to as more complex phase space.
  Designing efficient search strategies for new materials discovery (Reference LRC1907CS)
  Prof M J Rosseinsky, Dr V Kurlin, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2020

Funding Type

PhD Type

There is an urgent need to develop new experimental strategies to discover functional materials.
  Discovery of transparent conductors for sustainable buildings using Deep Learning (Reference NSGML2020PS)
  Prof M J Rosseinsky, Prof J Y Goulermas, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2020

Funding Type

PhD Type

Transparent conductors are essential for the sustainable future of advanced societies as they are key to the reduction of the energy demand in buildings, and also as transparent electrodes in solar energy conversion.
  Discovery of transparent conductors for sustainable buildings using Machine Learning and Advanced Data Analytics (Reference NSGML2020CS)
  Prof J Y Goulermas, Prof M J Rosseinsky, Dr M Gaultois, Dr V Gusev
Application Deadline: 31 July 2020

Funding Type

PhD Type

Transparent conductors are essential for the sustainable future of advanced societies as they are key to the reduction of the energy demand in buildings, and also as transparent electrodes in solar energy conversion.
  Long-term autonomy for aerial robot swarms
  Research Group: IRIS Centre
  Dr D Danesh
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisory team. Danesh Tarapore and Andras Sobester. Project description. The occurrence of natural disasters, such as earthquakes, often have long-lasting repercussions in terms of damages to existing communication infrastructure, thus hampering coordination in search and rescue efforts.
  A new approach to modelling complex human/robot movement dynamics using techniques from machine learning
  Prof X Hong, Prof W Harwin, Prof R Mitchell
Applications accepted all year round

Funding Type

PhD Type

Advances in sensing and communications have made it easy to obtain large sets of measurements about an entity, activity or event.
  A Neural Fuzzy Fusion Engine for Human-Machine Autonomous Systems
  Dr YK Wang
Applications accepted all year round

Funding Type

PhD Type

Abstract. This project aims to develop an intelligent engine to adaptively fuse multiple trust-based information from various agents in human machine autonomous systems (HMAS).
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