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Mathematics (computers) PhD Projects, Programs & Scholarships

We have 7 Mathematics (computers) PhD Projects, Programs & Scholarships

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  Adiabatic invariants in adiabatic quantum computers
  Dr A Zagoskin
Application Deadline: 30 September 2019

Funding Type

PhD Type

Simulation and characterization of large quantum coherent structures, such as adiabatic quantum processors, meets inherent difficulties because of the dimensionality of the corresponding Hilbert space growing exponentially with the system size.
  Protecting our seas using computers - Modelling and forecasting the expansion of a highly invasive seaweed
  Dr B Chen, Prof M Heath
Applications accepted all year round

Funding Type

PhD Type

This fully-funded 3.5 year studentship will remain open only until filled. We recommend applying immediately. In this project, you will meet with the challenge of developing an individual based model to simulate the growth and dispersal of a highly invasive seaweed (Japanese eelgrass) driven by coastal ocean currents.
  Mapping human brain development at new spatial resolutions using machine learning and 7T MRI
  Dr D Carmichael, Prof D Alexander
Application Deadline: 16 June 2019

Funding Type

PhD Type

In this PhD project we aim to bring together cutting edge advances in brain imaging and computer vision (that are also termed machine learning or artificial intelligence).
  Designing Efficient Distributed Graph Algorithms
  Dr A Trehan
Application Deadline: 30 July 2019

Funding Type

PhD Type

This project seeks to design and mathematically analyse distributed graph algorithms. Distributed graph algorithms allow us to model, explore and design solutions for all kinds of networks (computers/human/social).
  Mapping human brain development at new spatial resolutions using machine learning and 7T MRI
  Dr D Carmichael, Prof D Alexander
Application Deadline: 16 June 2019

Funding Type

PhD Type

In this PhD project we aim to bring together cutting edge advances in brain imaging and computer vision (that are also termed machine learning or artificial intelligence).
  Adaptive Numerical Algorithms for Forward UQ in Time-Dependent CFD.
  Dr C Powell, Prof D Silvester
Applications accepted all year round

Funding Type

PhD Type

Uncertainty quantification (UQ) is a rapidly-evolving field, incorporating several traditional mathematical disciplines.
  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.
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