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computers PhD Projects, Programs & Scholarships

We have 37 computers PhD Projects, Programs & Scholarships

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  Circuit compilers for near-term quantum computers
  Dr E Campbell, Prof S Benjamin
Applications accepted all year round

Funding Type

PhD Type

The number of elementary gates in a quantum computation determines the runtime of the quantum computer. It is clearly advantageous to have faster computations that use fewer gates and "circuit compilation" is the art of optimizing and automating this process.
  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.
  Developing Silicon Microchips for Ion Trap Quantum Computers
  Prof W Hensinger
Application Deadline: 26 May 2019

Funding Type

PhD Type

A 3.5 year PhD position is available in in the Ion Quantum Technology Group in the Sussex Centre for Quantum Technologies in the Department of Physics & Astronomy at the University of Sussex.
  Engineering nitrogen-vacancy centres in diamond for quantum computing
  Prof J Smith
Applications accepted all year round

Funding Type

PhD Type

Colour centres in diamond offer excellent prospects for the development of scalable solid state quantum computers.
  Machine Learning based Painting Authentication
  Dr H Yu
Application Deadline: 26 May 2019

Funding Type

PhD Type

Art historians employ a wide range of methods for authenticating and dating works by artistic masters, for example, microchemical analysis of paint samples, canvas thread counting, documentary research, and categorizing painting styles and techniques.
  Computer simulation of metal-amyloid interaction and its role in plaque formation
  Dr J Platts
Applications accepted all year round

Funding Type

PhD Type

Alzheimer’s disease is one of the greatest healthcare challenges facing 21st century society. AD is associated with formation of fibrils and plaques in brain tissue that impair proper functioning of neurons.
  Template assisted III-V epitaxy enabling quantum dot lasers on silicon
  Research Group: Condensed Matter and Photonics
  Dr Q Li, Dr D Wallis
Application Deadline: 31 May 2019

Funding Type

PhD Type

Today, data has become extremely important in all aspects of human life. Currently data in computers move across chips and from chip to chip electronically, through tiny metal wires.
  Privacy and Security by Design for Internet of Things (Self-Funded Students Only)
  Research Group: Complex Systems
  Prof O F Rana, Dr C Perera
Applications accepted all year round

Funding Type

PhD Type

The design process for Internet of Things (IoT) applications is more complicated than for desktop, mobile, or web-based platforms.
  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).
  Self-Learning Intrusion Detection System Through Machine Learning (Advert Reference: SF18/CIS/ISSAC)
  Dr B Isaac
Applications accepted all year round

Funding Type

PhD Type

As network applications are increasingly used with the popularity of broadband networks and Internet of Things (IoT), network security is a very important issue.
  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).
  Intelligent algorithms for histological imaging
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

This project is focused on the development of new computational approaches to resolve some fundamental problems related to the extraction of quantifiable information from microscopy images.
  Morphological aspects of Lichen Planus
  Prof G Landini
Applications accepted all year round

Funding Type

PhD Type

Quantitative Pathology investigates problems in pathology using innovative, analytical methods to collect reliable, quantifiable and reproducible markers of disease.
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