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Software Engineering (neural engineering) PhD Projects, Programs & Scholarships

We have 18 Software Engineering (neural engineering) PhD Projects, Programs & Scholarships

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  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.
  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.
  Scalable and Energy-Efficient Multi-Building and Multi-Floor Indoor Localisation/Navigation based on Deep Neural Networks with a Multivariate Database
  Dr K Kim
Applications accepted all year round

Funding Type

PhD Type

The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Evidence of good spoken and written English is essential.
  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).
  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.
  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.
  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.
  Deep Learning based Network Forensic Methods for Investigating Botnets in the IoT (Application Ref: SF19/EE/CIS/ASLAM)
  Dr N Aslam, Dr B Issac
Applications accepted all year round

Funding Type

PhD Type

The process of designing IoT protocols and sensors and the lack of standards are the main reasons why the IoT is an easy target for botnets.
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