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retrieval PhD Projects, Programs & Scholarships

We have 19 retrieval PhD Projects, Programs & Scholarships

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  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.
  School of Computing Science - Multi-task deep learning models for Information Extraction and Ranking
  Dr J Dalton
Applications accepted all year round

Funding Type

PhD Type

Background. The University of Glasgow (UofG) is home to world-leading research in the fields of information retrieval (search) and machine learning.
  Deep learning for Image and Video Processing and Information Retrieval
  Dr V Ojha
Applications accepted all year round

Funding Type

PhD Type

In the age of large scale automation and data explosion, deep learning offers means to process unstructured image data and allow us to receive a large amount of information.
  Zero-Shot Learning and Applications
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

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.
  Development of prospective memory in early childhood
  Research Group: Brain and Cognition Research Group
  Dr R Ford
Applications accepted all year round

Funding Type

PhD Type

Proposed supervisory team. Dr Ruth Ford ([email protected]). https://www.anglia.ac.uk/science-and-technology/about/psychology/our-staff/ruth-ford.
  Senior surfers - An investigation of internet usage of older adults to inform sustainable design standards of digital information services
  Dr K Koya, Dr T O'Brien
Applications accepted all year round

Funding Type

PhD Type

Aim. "How to build ergonomic digital information services for older adults to improve user satisfaction and reduce user-device interaction time?".
  Understanding how interneurons in medial prefrontal cortex control associative recognition memory
  Prof Z I Bashir, Prof J Aggleton
Application Deadline: 25 November 2019

Funding Type

PhD Type

Supervisors. Zafar Bashir (Bristol), Clea Warburton (Bristol), John Aggleton (Cardiff). The medial prefrontal cortex (mPFC) forms the hub of a brain circuit critical for associative recognition memory.
  Multi-view approaches for content-based image clustering
  Prof X Hong, Dr H Wei, Prof J Ferryman
Applications accepted all year round

Funding Type

PhD Type

Human and animal learning are naturally in the so-called semi-supervised mode of learning, i.e. with a limited teaching but more of self-training experiments.
  Multi-modal Data fusion using Deep Learning
  Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
  Source-code similarity detection using deep learning
  Dr G Cosma
Application Deadline: 1 September 2020

Funding Type

PhD Type

Deep learning is a subset of machine learning in artificial intelligence (AI) that is capable of learning from data.
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