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Computer Science & IT (neural engineering) PhD Projects, Programs & Scholarships

We have 43 Computer Science & IT (neural engineering) PhD Projects, Programs & Scholarships

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Showing 11 to 20 of 43
  Optimisation methods for (deep) neural networks
  Dr C Grosan
Applications accepted all year round

Funding Type

PhD Type

A machine learning algorithm can be viewed as a mapping between inputs and outputs, with the scope of optimising and tuning the parameters that describe it so that the performance is improved.
  Investigation of adversarial learning with deep neural networks
  Dr K Huang, Dr R Zhang, Dr Y Goulermas
Applications accepted all year round

Funding Type

PhD Type

Adversarial examples are augmented data generated by imperceptible perturbation of existing samples. They have recently drawn much attention with the machine learning community.
  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).
  BioVision: bio-inspired computer vision using deep architectures (Advert Reference: SF19/EE/CIS/BELATRECHE)
  Dr A Belatreche, Dr F Khelifi
Applications accepted all year round

Funding Type

PhD Type

The primate visual system outperforms the existing automated vision systems in almost all measures.
  Protein ghost recognition using deep learning
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Project description. POETS (Partially Ordered Event Triggered Systems) technology is based on the idea of an extremely large number (millions) of small processing cores, embedded in a fast, bespoke, hardware, parallel communications infrastructure – the core mesh.
  Machine learning for Autonomous and Interconnected Vehicles
  Research Group: Applied Computing
  Dr ARA Abdullatif, Dr S Kabir, Dr I Ghafir
Applications accepted all year round

Funding Type

PhD Type

Cyber-Physical Mechatronic Systems such as autonomous vehicles, and intelligent transportation rely heavily on machine learning techniques for ever-increasing levels of autonomy.
  Computer Vision and Machine Learning for ReIdentification of Civil Structural Components and their Damage Analysis.
  Dr B Mandal
Applications accepted all year round

Funding Type

PhD Type

In this project the PhD research student needs to understand the strengths and weaknesses of the deep convolutional neural network for analysis of civil infrastructures, such as concrete bridges, highways, buildings, tunnels and stadiums, using videos/images captured by a network of multiple cameras.
  Improving Transparency of Intelligent Systems to Support Safety Assurance for Autonomy, jointly funded by EPSRC and Jaguar Land Rover
  Dr N Griffiths, Dr T Popham, Dr A Bhalerao
Applications accepted all year round

Funding Type

PhD Type

PhD studentship (4 years fully funded). Improving Transparency of Intelligent Systems to Support Safety Assurance for Autonomy, jointly funded by EPSRC and Jaguar Land Rover.
  A combined framework of machine learning and full waveform inversion for electromagnetic sensing of infrastructure (Advert Reference: SF19/EE/MCE/WARREN)
  Dr C Warren, Prof J Martin
Applications accepted all year round

Funding Type

PhD Type

Electromagnetic sensing systems, such as Ground Penetrating Radar (GPR), are critical tools to allow us to evaluate the condition of surface and sub-surface infrastructure.
  Testing Robotics and Autonomous Systems Using Search-based Techniques
  Research Group: Applied Computing
  Dr RE Lefticaru, Prof D Neagu
Applications accepted all year round

Funding Type

PhD Type

Robotics and Autonomous Systems (RAS) are becoming indispensable for human productivity and it is estimated that there will be a £13 billion global market for RAS by 2025.
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