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retrieval PhD Projects, Programs & Scholarships

We have 22 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.
  The Retrieval of Atmospheric Isoprene from Satellite INstruments (RAISIN)
  Dr J Harrison, Dr E Marais
Application Deadline: 5 June 2020

Funding Type

PhD Type

Isoprene is the single most important non‐methane biogenic volatile organic compound (BVOC) in the atmosphere. Emitted from terrestrial vegetation, especially in the tropical forests, its annual emissions comprise nearly half the global BVOC budget.
  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: Centre for Mind and Behaviour
  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?".
  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.
  Unravelling the dynamics of lipid bilayers and membrane proteins and their reaction to toxins and viral infection on the single molecule level using label-free microscopy.
  Prof W W Langbein, Prof P Borri, Dr MY Young, Dr O Castell
Application Deadline: 5 June 2020

Funding Type

PhD Type

Approximately 30% of the proteins in a cell are membrane proteins, which represent more than 60% of all known drug targets and play a critical role in both infection and immunity.
  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.
  Embodied and situated bases of knowledge representations (Ref: SF20/PSY/MYACHYKOV)
  Dr A Myachkov
Applications accepted all year round

Funding Type

PhD Type

This project will focus on the analysis of mental representations activated during language use, estimating numerical magnitude and during mental arithmetic, and perceiving manipulation affordances.
  PhD position in Image Reconstruction for Next Generation X-Ray Tomography
  Prof S Arridge
Applications accepted all year round

Funding Type

PhD Type

A multidisciplinary consortium from UCL comprising the Advanced X-Ray Imaging group in the Department of Medical Physics and Biomedical Engineering, the…
  PhD positions in innovative application of x-rays in materials and tissue analysis
  Prof A Olivo
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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