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

We have 42 Computer Science & IT (neural engineering) PhD Projects, Programs & Scholarships

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Showing 21 to 30 of 42
  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.
  Design of advanced coding and random access techniques for DNA storage
  Dr Z Liu, Dr N Thomos, Dr A Dumbrell
Application Deadline: 31 March 2020

Funding Type

PhD Type

Start date. October 2020. Duration. 3 years (full time). Location. Colchester Campus. Based in. School of Computer Science and Electronic Engineering (in collaboration with School of Life Sciences and Department of Mathematical Sciences).
  PhD in Computing Science: Data compression at the quantum limit for big-data machine learning applications
  Prof R Murray-Smith, Prof D Faccio
Applications accepted all year round

Funding Type

PhD Type

Background.
  An artificially intelligent camera imaging algorithm for monitoring multiscale damage.
  Dr J Chen
Application Deadline: 23 February 2020

Funding Type

PhD Type

Applications are invited for a three year PhD to commence in October 2020. The PhD will be based in the Faculty of Technology, and will be supervised by Dr Jiye Chen.
  Complex network control of stem cell derived cultures
  Prof S Nasuto, Dr E Delivopoulos, Dr Y Hayashi
Applications accepted all year round

Funding Type

PhD Type

"In order to create a next generation of interfaces between prosthetic devices and the nervous system or to create next generation of intelligent robots – hybrids between artificial and biological systems, it is necessary to understand the principles that allow biological networks to achieve control of bodies.
  Artificial Intelligence and Machine Learning for Biomedical Data
  Prof P Andras
Applications accepted all year round

Funding Type

PhD Type

Artificial Intelligence (AI) and Machine Learning (ML) are the leading edge approaches to data driven problems across all areas of life, technology and sciences.
  Machine learning-based nonlinear approximation of PDEs on complex domains
  Prof S Badia
Applications accepted all year round

Funding Type

PhD Type

Countless phenomena can be modelled by partial differential equations, including the electromechanics of the heart or option pricing in finance.
  Liquid Transistors: Real-time Probabilistic Computing with Non-linear Analogue Components
  Research Group: Intelligent Systems and Nanoscience
  Dr M Trefzer
Applications accepted all year round

Funding Type

PhD Type

"Perfection has always been expensive". An area where this is certainly true, and is rapidly becoming more so, is electronic systems design where the goal is to perform useful, stable computation.
  Research on Exoskeleton Control System based on Brain-Computer Interface
  Dr M Huang, Dr R Yang, Dr D Tate, Dr R Ferrero
Applications accepted all year round

Funding Type

PhD Type

To ensure the safe and reliable operation of exoskeleton, the control system based on brain-computer interface is the premise and foundation, which has been discussed in literature.
  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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