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Computer Science & IT PhD Projects, Programs & Scholarships in Leeds

We have 12 Computer Science & IT PhD Projects, Programs & Scholarships in Leeds

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  26 Fully Funded PhD Studentships in Environmental Research NERC

Funding Type

PhD Type

The NERC Panorama DTP has around 24 fully funded studentships for October 2019 starters to study the science of the Earth's atmosphere and climate, Earth processes and the living world.
  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.
  Artificial Intelligence Assisted Computer Aided Diagnosis (CAD)
  Research Group: Visual Computing
  Mr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

In this project, machine learning algorithms will be developed for wireless capsule endoscopy (WCE). WCE is a swallowable technology designed primarily to provide diagnostic imaging of the whole digestive tract.
  Automatic Activity Analysis, Detection and Recognition for Efficient Visual Surveillance
  Research Group: Visual Computing
  Mr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

The detection and recognition of human actions from real-time CCTV video data streams is a popular challenge, with the potential to aid in video surveillance and anomaly detection of, for example, potentially hazardous scenarios in factories.
  Artificial Intelligence and Computer Vision Technology for Multimedia Data Mining
  Research Group: Visual Computing
  Mr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

Large amounts of multi-modal data are already being stored in many collections. There is a huge amount of information, but it is not possible to access or make use of this information unless it is efficiently organized to extract the semantics.
  Artificial Intelligence and Video Summarization for Efficient Indexing of Movies
  Research Group: Visual Computing
  Mr I Mehmood
Applications accepted all year round

Funding Type

PhD Type

Movies data specifically has become one of the most entertaining sources for viewers. However, browsing a movie in enormous collections and searching for a desired scene within a complete movie is a tedious and time-consuming task.
  Intelligent Big Data Analytics for Manufacturing and Engineering Applications
  Research Group: Applied Computing
  Dr S Konur
Applications accepted all year round

Funding Type

PhD Type

Information processing and understanding using AI and machine learning is seen as a future growth direction to deal with increasingly large and complex data-sets, making sense of ambiguity in data that is often noisy and not always robust.
  Mutually Unbiased Bases for Quantum Computation and Cryptography
  Research Group: Theory of Computation
  Prof A Vourdas
Applications accepted all year round

Funding Type

PhD Type

Quantum systems with variables in the finite ring Z(d) will be studied. The phase space in this case is a finite geometry. The properties of this geometry will be studied in detail.
  Computer based face analysis for automated and efficient perception of faces
  Research Group: Visual Computing
  Prof H Ugail
Applications accepted all year round

Funding Type

PhD Type

A PhD position is available at the Centre for Visual Computing on the topic of human facial analysis using computational methods and techniques.
  Planning and Design of Distribution Networks with Integration of Smart Grid Technologies
  Research Group: Communication and Networks
  Dr G Mokryani
Applications accepted all year round

Funding Type

PhD Type

The UK Government’s target is to achieve 15% of electricity generation from renewable energy sources (RES) by 2020. The installation of large amounts of RES in distribution networks introduces several economic and technical challenges to distribution network operators (DNOs).
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