Imperial College London Featured PhD Programmes
University of Kent Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
Sheffield Hallam University Featured PhD Programmes
University of Reading Featured PhD Programmes
"neural" AND "engineering…×
10 miles

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

We have 45 Computer Science & IT (neural engineering) PhD Projects, Programs & Scholarships

  • "neural" AND "engineering" ×
  • Computer Science & IT×
  • clear all
Order by 
Showing 1 to 15 of 45
  Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content.
  Information Extraction from Scientific Texts to support Nature-Inspired Engineering (EPS2020/39)
  Prof M Desmulliez
Application Deadline: 28 February 2020

Funding Type

PhD Type

Nature has inspired various highly innovative engineering solutions, such as Velcro, the Japanese bullet train and others. Solving engineering problems using Nature requires however specific and interdisciplinary domain knowledge.
  The mathematics behind the smartness of neural networks
  Dr M S Baptista
Applications accepted all year round

Funding Type

PhD Type

Intelligence is one of the pillars that allows animals to master their environment. Scientific approaches recently proposed have been capable of simulating networked systems that reproduce similar emergent manifestations of behavior as those observed in the brain.
  PhD: Dynamic wavefront engineering via epsilon-near-zero nonlinearities (Optalysys Ltd)
  Research Group: CDT in Applied Photonics
  Prof D Reid, Dr M Ferrera
Application Deadline: 28 February 2020

Funding Type

PhD Type

Project Description. The proposed project involves the ASN research lab led by Dr. Ferrera (Heriot-Watt University) and Optalysys a world leading company in ultra-fast optical information processing.
  Real-time simulation of large neural aggregates
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor Dr Graeme Bragg,. Project description.
  Global resilience assessment using artificial neural network
  Research Group: Future Cities Research Network
  Dr M Imani
Applications accepted all year round

Funding Type

PhD Type

Research Group. Future Cities Research Network - https://www.anglia.ac.uk/science-and-engineering/research/institutes-and-groups/future-cities.
  NEUROSCAPE - a Virtual Reality Artificial Environment for simulated neural development studies
  Research Group: Sustainable Electronic Technologies
  Prof A Brown
Application Deadline: 31 August 2020

Funding Type

PhD Type

Supervisor. Prof Andrew Brown. Co-supervisor Dr Graeme Bragg, Professor John Chad. Project description.
  Animats - neural culture controlled robots for closed-loop neuroscience
  Prof S Nasuto, Dr E Delivopoulos
Applications accepted all year round

Funding Type

PhD Type

The project will continue research started at the University of Reading on animats - robotic platforms controlled in real time by activity of biological neuron cultures and will investigate the methods for implementing efficient conditioning protocols.
  The dynamics of human attention in the online environment
  Dr M-A Rizoiu
Applications accepted all year round

Funding Type

PhD Type

Topic. This project will develop and evaluate stochastic models for the spread of information over complex social networks, in which the individual actions -- such as retweets, posts or shares -- are only partially observed.
  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.
  Adaptive self-learning vision systems
  Dr P Kinnell, Dr N Lohse, Dr A Soltoggio
Applications accepted all year round

Funding Type

PhD Type

Many computer vision systems make use of artificial neural networks to undertake complex image analysis tasks, such as locating objects in a clutter scene.
  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.
Show 10 15 30 per page


FindAPhD. Copyright 2005-2020
All rights reserved.