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Information Science (processing) PhD Projects, Programs & Scholarships

We have 58 Information Science (processing) PhD Projects, Programs & Scholarships

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  Deep Learning for Temporal Information Processing
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Temporal information process covers a broad class of learning problems where knowledge can be acquired from data of a sequential order, e.g.
  Compiler and Runtime Support for Scalable Big Data Systems
  Dr S Ray
Applications accepted all year round

Funding Type

PhD Type

Project objectives. Data systems are going through a major transition due to the challenges of Big Data processing. The volume and velocity of data generated from a variety of sources are far outpacing the available storage and processing capacity.
  Developing a new learning algorithm for biologically inspired spiking neural networks
  Dr A Taherkhani, Prof TM McGinnity, Dr G Cosma
Applications accepted all year round

Funding Type

PhD Type

The brain’s processing ability to solve complex problems has inspired many researchers to investigate how the brain processes information, reasons and its learning mechanisms.
  High-Speed Millimetre Wave Wireless Communications
  Prof X Huang
Applications accepted all year round

Funding Type

PhD Type

Increasing demand for high speed wireless communications systems means that new signal processing algorithms and hardware implementations are necessary to meet low cost and high performance requirements.
  BioVision: bio-inspired computer vision using deep architectures (Advert Reference: SF19/EE/CIS/BELATRECHE)
  Dr A Belatreche, Dr F Khelifi
Applications accepted all year round

Funding Type

PhD Type

The primate visual system outperforms the existing automated vision systems in almost all measures.
  Information Component Analysis via Deep Learning
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

As their prominent characteristics, perceptual data often convey the mixing information, which often results in the inadequate performance for a specific perceptual information processing task due to the interference of irrelevant information components.
  Machine Learning from Long Time-Series (EPSRC CDT in Distributed Algorithms)
  Dr A Garcia-Fernandez, Prof LA Gąsieniec
Application Deadline: 31 January 2020

Funding Type

PhD Type

The focus of this project is on scalable machine learning of time-series models. Such machine learning necessarily involves assessing candidate models by processing data using each of many candidate models.
  PhD Studentship Opportunity in Real time complex scene segmentation and prediction in urban environments
  Prof R Bowden
Applications accepted all year round

Funding Type

PhD Type

Semantic image segmentation describes the process of associating each pixel of an image with a class label (such as flower, person, road, sky etc).
  Deep-learning for semantic-based information extraction from natural language
  Research Group: Computing, Informatics and Applications Research Group
  Dr A Fatima, Dr C Luca
Applications accepted all year round

Funding Type

PhD Type

Research Group. Computing, Informatics and Applications Research Group. Proposed supervisory team. Dr Arooj Fatima ([email protected]).
  Automatic Activity Analysis, Detection and Recognition
  Dr K Chen
Applications accepted all year round

Funding Type

PhD Type

Activity detection, analysis and recognition are related to several important areas in machine perception research and applications.
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