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information retrieval PhD Projects, Programs & Scholarships

We have 15 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.
  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?".
  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.
  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.
  ‘Vowel matching’ in chorus singing
  Research Group: Communication Technologies
  Dr H Daffern
Applications accepted all year round

Funding Type

PhD Type

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.
  Information Extraction from Scientific Texts to support Nature-Inspired Engineering (EPS2020/39)
  Prof M Desmulliez
Application Deadline: 28 February 2020

Funding Type

PhD Type

Nature has inspired various highly innovative engineering solutions, such as Velcro, the Japanese bullet train and others. Solving engineering problems using Nature requires however specific and interdisciplinary domain knowledge.
  Earth observation for sustainable sugarcane production
  Dr D Simms, Dr P Burgess
Application Deadline: 27 January 2020

Funding Type

PhD Type

Sugarcane production must address the challenge between the need to increase crop production and improve labour productivity whilst improving the efficiency of water and fertiliser use (Hess et al, 2016).
  Four-year EngD scholarship with the National Composites Centre: Exploitation of Novel Material Technologies (ExMaT)
  Prof IK Partridge
Application Deadline: 31 January 2020

Funding Type

PhD Type

Faculty/School/Department. Faculty of Engineering (University of Bristol). Location. National Composites Centre, Bristol (BS16 7FS).
  PhD positions in innovative application of x-rays in materials and tissue analysis
  Prof A Olivio
Applications accepted all year round

Funding Type

PhD Type

The Department of Medical Physics & Biomedical Engineering at UCL is inviting applications for a studentship in the development in innovative applications of x-rays to materials and tissue analysis.
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