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computers PhD Projects, Programs & Scholarships

We have 29 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.
  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 July 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.
  Use of Surface Coatings in Phase-Change Enhancement "USCiPE"
  Dr G McGranaghan
Application Deadline: 2 August 2019

Funding Type

PhD Type

Hydrophobic and hydrophilic surface coatings are shown to promote the phase change processes of evaporation and condensation, but are presently commercially limited due to performance degradation by fouling and blocking.
  Leeds Business School

Funding Type

PhD Type

We welcome applicants who want to undertake challenging and innovative doctoral research and be part of Leeds Business School's research community.
  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.
  Hardware Implementations of Isogeny-based Protocols
  Dr S Sinha Roy, Dr C Petit, Dr F Garcia
Application Deadline: 9 August 2019

Funding Type

PhD Type

Post-quantum cryptography aims at developing new security protocols that will remain secure even after powerful quantum computers are built.
  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.
  Nuclear and cell shape characterisation in oral cancer/precancer
  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.
  Systematisation of epithelial architecture using mathematical morphology and graph theory
  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.
  Tissue/cell segmentation in histopathological imagery
  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.
  Next generation on-chip photonic quantum simulators
  Dr Anthony Laing
Application Deadline: 31 July 2019

Funding Type

PhD Type

The prospect of quantum machines outperforming conventional computers can provide ground-breaking capabilities in many fields.
  PhD Opportunities within Kent’s Centre for Journalism

Funding Type

PhD Type

Kent's Centre for Journalism offers an MA by Research and a PhD in Journalism. These provide rigorous training for careers in academic journalism and communications roles.
  Odd metal clusterings and peculiar phases in nuclear extraction processes
  Prof A Masters
Application Deadline: 1 August 2019

Funding Type

PhD Type

At the end of a nuclear reaction, many countries seek to recover unspent uranium and plutonium from the spent fuel. The most common way to do this is to dissolve the spent fuel in nitric acid, add some oil and also a special ligand.
  Modelling environmentally assisted cracking in Ni-based superalloys
  Dr P Shanthraj, Dr J Fonseca
Application Deadline: 15 September 2019

Funding Type

PhD Type

Ni-based superalloys in aircraft engines are routinely subjected to temperatures in the range of 650-700oC during operating conditions.
  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.
  Computational materials engineering of interfaces in alloys
  Dr C Brandl
Applications accepted all year round

Funding Type

PhD Type

Research field. We are working in Computational Materials Science which is an interdisciplinary area. It’s a challenging mix of physics, materials science, engineering, mathematics, and computational science.
  Integrative Computational Biology and Machine Learning: Combining computational biology, computational chemistry, and machine learning techniques with biological big data to unravel the higher genomic code of life
  Dr A Sahakyan, Prof P McHugh
Application Deadline: 26 July 2019

Funding Type

PhD Type

In the Sahakyan Group, we strive to make computational biology maximally independent from empirical experimental data, by basing our models and predictions on genomic sequences and core biological mechanisms.
  Development of quantum computing circuits based on semiconductor quantum dot spins.
  Research Group: Inorganic Semiconductors
  Dr E Chekhovich
Applications accepted all year round

Funding Type

PhD Type

Quantum information processing is a concept that seeks to exploit quantum effects in constructing computers more powerful than any classical digital computer.
  Digitally interfaced high-speed LED-SPAD arrays for environment-aware wireless systems
  Prof M Dawson, Dr J Herrnsdorf
Application Deadline: 31 July 2019

Funding Type

PhD Type

Start date. October 2019. Duration. 3.5 yrs. Background. Digital cameras and active-matrix displays are powerful examples of how arrays of optical receivers and emitters can have transformative impact.
  Selective epitaxial growth of Silicon Carbide thin film materials
  Dr M Myronov
Applications accepted all year round

Funding Type

PhD Type

Silicon carbide (SiC) is a wide band gap compound semiconductor material attractive for future applications in high power and high frequency electronic devices, UV photonic devices and sensors including those for bio-medical, industrial, IoT and automotive sectors.
  Decision making through artificial chemical intelligence
  Dr J Slattery, Prof I J S Fairlamb
Applications accepted all year round

Funding Type

PhD Type

Automation will transform the chemical landscape. Powerful robotic platforms can perform reactions or analyses much more rapidly than traditional approaches.1 Ever faster computers allow huge numbers of molecules to be studied in an automated way using computational chemistry.
  Simulation of chiral viruses
  Dr M A Bates
Applications accepted all year round

Funding Type

PhD Type

Background. Concentrated solutions of helical rod-like particles such as polynucleotides and polypeptides are known to form orientationally ordered liquid crystal phases.
  Computational neuroscience: neural signal processing & neural computing
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

The human brain is one of the most complex systems known to man. It consists of vast numbers of interacting units (called neurones) that communicate with each other using sequences of pulses (called spike trains).
  Electromagnetic Turbulence and Advanced Transport Modelling
  Research Group: York Plasma Institute
  Dr D Dickinson, Dr C Roach
Applications accepted all year round

Funding Type

PhD Type

This project is for September 2019 entry, please apply as soon as possible. The fusion performance of tokamaks is strongly influenced by the effectiveness of the background magnetic field in holding particles and energy inside the central plasma volume and away from the tokamak’s walls.
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