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  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round
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.
  Career information literacy and decision making behaviours of young people
  Prof H Hall
Application Deadline: 22 March 2019
A fully funded PhD studentship is being offered within the Centre for Social Informatics at Edinburgh Napier University.
  Discover doctoral opportunities at the Information School
The University is rated in the top 100 by the QS World University Rankings, priding itself on research-led critical thinking that aims to make an impact in the world.
  Unified City Information Modelling for Sustainability and Resilience
  Dr V Vukovic, Dr H Dawood, Dr E Hayat
Application Deadline: 12 April 2019
The Aim is to develop an implementation methodology and knowledge framework to maintain the integrity of the semantic model across platforms and ensure processes are developed and implemented successfully to achieve the strategic targets.
  Developing a security-minded but open and transparent digital built environment sector
  Prof C Harty
Applications accepted all year round
The built environment sector in the UK has been undergoing a digital transformation.
  Contextualised Multimedia Information Retrieval via Representation Learning
  Dr K Chen
Applications accepted all year round
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.
  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round
Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Biologically Inspired Deep Learning for Speech Information Processing
  Dr K Chen
Applications accepted all year round
Deep learning is a machine learning methodology via using hierarchical architectures of many layers to learn abstractive yet informative representations from raw data.
  Advanced digital image processing for Building Information Modelling (BIM)
  Dr E Lou
Applications accepted all year round
Reference Number. EL-2018-PhD-1. Project Summary. Technology in building design, simulation and intelligence in buildings are well-represented and making headlines with Building Information Modelling (BIM).
  Scheduling of Distributed Information Processing (EPSRC CDT in Distributed Algorithms)
  Dr X Zhu, Prof P Wong
Application Deadline: 29 March 2019
This studentship has been developed by the University of Liverpool in partnership with DSTL. This PhD will develop techniques to schedule the use of distributed computational resources to maximise the utility of the information generated.
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