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Electrical & Electronic (selection) PhD Projects, Programs & Scholarships

We have 17 Electrical & Electronic (selection) PhD Projects, Programs & Scholarships

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  Doctoral Training in Optical Neurophysiology
  Dr A Foust
Application Deadline: 1 October 2020

Funding Type

PhD Type

-----------------Requirements:-----------------. The Optical Neurophysiology Laboratory, lead by Dr.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Machine Learning and Cognitive Modelling Applied to Video Games
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Video games have been viewed as an ideal test bed for the study of AI. However, most of the academic work in this area focused on traditional board and card games where limited AI techniques have been tested.
  EPSRC CDT in Advanced Biomedical Materials
Application Deadline: 20 March 2020

Funding Type

PhD Type

Applications are invited from qualified graduates for fully-funded four-year PhD studentships in the area of Advanced Biomedical Materials.
  Runtime Performance and Energy Optimisation of Massively Parallel Asynchronous Systems
  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. POETS - Partial Ordered Event Triggered Systems - technology is based on the idea of an extremely large number (millions) of small cores, embedded in a fast, bespoke, hardware, parallel communications infrastructure - the core mesh.
  Machine Learning for classifying and characterising living cell cultures
  Research Group: Intelligent Systems and Nanoscience
  Prof S Smith
Applications accepted all year round

Funding Type

PhD Type

In collaboration with the Department of Biology at the University of York and the Department of Computer Science at the University of Sheffield, programmable agent-based computational models have been developed to help interpret how populations of cells arise and repair from individual cell:cell interactions.
  Credibility of Predictions of Reactor Core Condition
  Prof EA Patterson
Applications accepted all year round

Funding Type

PhD Type

Typically, about 20% of the UK’s electricity is supplied from nuclear power-stations [http://gridwatch.co.uk/] which are operated by EDF.
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