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Computer Science & IT (information retrieval) PhD Projects, Programs & Scholarships

We have 13 Computer Science & IT (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

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.
  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.
  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.
  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.
  Discover doctoral opportunities at the Information School

Funding Type

PhD Type

The Information School. A long established and highly respected department, the Information School is the number one department of its kind in Europe, and second in the world according to the QS World University Rankings by Subject 2019.
  Early fire detection for effective disaster management using Artificial Intelligence Technology
  Research Group: Visual Computing
  Mr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

Disaster management, as a hybrid research area, has attracted the attention of many research communities such as business, computer science, health sciences, and environmental sciences.
  Deep Feature Selection of Multi-Modal Data (CO/CG/-Un5/2020)
  Dr G Cosma
Application Deadline: 2 August 2020

Funding Type

PhD Type

Feature selection aims to eliminate redundant and irrelevant features via different criteria. The most commonly used criteria measure the relevance of each feature to the desired output, and use this information to select the most important features.
  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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