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information retrieval PhD Projects, Programs & Scholarships

We have 13 information retrieval PhD Projects, Programs & Scholarships

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  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.
  Zero-Shot Learning and Applications - investigating effective zero-shot learning techniques as fundamental research and their applications in real world problems
  Dr K Chen
Applications accepted all year round
Zero-shot learning refers to a novel paradigm on learning how to recognise new concepts by just having a description of them. For example, zero-shot learning works on a setting of solving a classification problem when no labelled training examples are available for all classes, which are divided into two class subsets.
  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.
  Large-scale information extraction from unstructured textual resources
  Dr P Knoth
Applications accepted all year round
The student is expected to work with millions of research papers extracting useful information, such as names of scientific methods, statistical tests performed…
  PhD in Computing Science: Moodagent - Conversational Music Assistant
  Dr J Dalton
Application Deadline: 30 June 2019
Conversational AI interfaces are beginning to allow people to communicate naturally with computers for the first time. This PhD, in partnership with Moodagent, focuses on intelligent music agents.
  PhD in Computing Science: Modelling and evaluating closed loop interactions in recommender systems
  Dr C Macdonald
Application Deadline: 15 May 2019
Machine learning techniques are widely used to address many recommendation scenarios – such as suggesting a movie to watch on (e.g.) Netflix, or recommending a point-of-interest to visit in a city, often by learning from historical user data.
  ‘Vowel matching’ in chorus singing
  Research Group: Communication Technologies
  Dr H Daffern
Applications accepted all year round
Modifying vowels is a common technique employed by singers when singing as a group to maximise the blended quality of the sound. Whilst there is natural variation of vowels between speakers and singers, a conscious effort is made to match the quality of vowels between singers.
  The relationship of an accompanist, their instrument and the voice in sung solo performances
  Research Group: Communication Technologies
  Dr H Daffern
Applications accepted all year round
This project will consider the relationship of a singer with their accompaniment, including the musical relationship between the two performers and the direct but perhaps unconscious impact of the spectral characteristics of the accompanying force(s) on vocal production.
  Using optogenetics to understand memory retrieval in models relevant to Alzheimer’s disease
  Research Group: Centre for Clinical Brain Sciences
  Dr S Wang, Dr K Horsburgh
Application Deadline: 30 April 2019
Memory dysfunction is a hallmark in Alzheimer’s disease (AD) that significantly affects the daily life in people living with AD. It remains debated whether memory deficits reflect an inability to store the information or an inability to retrieve information that is previously stored.
  Investigating the Drosophila DF31 protein to gain insight into the mechanisms and chromatin maintenance in animal cells
  Dr S Cotterill, Dr A Nohturfft
Applications accepted all year round
The Drosophila DF31 protein is an abundant ribonucleoprotein that localises to euchromatic regions and is involved in maintaining chromosome structure.
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