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Operational Research (signal) PhD Projects, Programs & Scholarships

We have 6 Operational Research (signal) PhD Projects, Programs & Scholarships

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  PhD in Algorithmic Approximate Computing
  Prof M Sellathurai, Dr J Mota
Application Deadline: 28 January 2020

Funding Type

PhD Type

Project description. The aim of this PhD project is to develop techniques for performing approximate computation in energy-constrained environments.
  Developing a new learning algorithm for biologically inspired spiking neural networks
  Dr A Taherkhani, Prof TM McGinnity, Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

The brain’s processing ability to solve complex problems has inspired many researchers to investigate how the brain processes information, reasons and its learning mechanisms.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Multimedia Information Retrieval (MIR) is an important research area in AI that aims at extracting semantic information from multimedia data sources including perceivable media such as audio, image and video, indirectly perceivable sources such as text, bio-signals as well as not perceivable sources such as bio-information, stock prices, etc.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  PhD Studentship Opportunity in Uncertainty quantification in high-dimensional spaces with Bayesian deep learning
  Research Group: Nature Inspired Computing and Engineering
  Dr Y Li
Applications accepted all year round

Funding Type

PhD Type

The Nature Inspired Computing and Engineering (NICE) Research Group in the Department of Computer Science at the University of Surrey invites applications for a funded studentship in Machine Learning.
  Modelling traffic disruptions using machine learning and simulation modelling
  Dr S Mihaita
Applications accepted all year round

Funding Type

PhD Type

Project Topic. Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost.
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