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University of York, Department of Electronic Engineering PhD Projects, Programs & Scholarships

We have 71 University of York, Department of Electronic Engineering PhD Projects, Programs & Scholarships

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  Auralisation in digital heritage
  Research Group: Communication Technologies
  Prof D Murphy
Applications accepted all year round

Funding Type

PhD Type

Graphical virtualization techniques have been used for some time in the fields of archaeology, history, and heritage, offering better understanding and experience of past environments while also facilitating more effective user interaction.
  Automated probabilistic programming and learning methods for robotic behaviours in an uncertain and changing world
  Research Group: Intelligent Systems and Nanoscience
  Dr M A Post, Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

Nearly all programmable computing systems are based by design on exact logic, under the assumption of a "perfect" mathematical world.
  Automatic face description in computational photography and videography
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round

Funding Type

PhD Type

The group has recently filed a patent on a method for estimating the attributes of faces detected in pictures. These attributes include the location and orientation and facial "landmarks", such as the eyes, nose tip and chin tip, along with the age, sex, race and facial expression of the person.
  Autonomous cooperation of bio-inspired adaptable lightweight mobile robots
  Research Group: Intelligent Systems and Nanoscience
  Dr M A Post, Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

In challenging planetary environments such as Mars, a diverse range of terrains must be traversed to deliver sensing instruments and achieve scientific goals.
  Body composition measurements in a reverberation chamber
  Research Group: Communication Technologies
  Dr M P Robinson
Applications accepted all year round

Funding Type

PhD Type

Measurement of the components that make up the human body has important medical applications in kidney and heart diseases, and in nutritional studies.
  Cognition Assisted 5G Small Cell Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will investigate how machine learning based artificial intelligence strategies can be used to control both the radio resources and network topology in small cell 5G networks, likely to be used in dense urban areas, when traffic is dominated by ultra-high definition video from vehicular users.
  Cognition Strategies for Secure Cloud Radio Access Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will investigate how artificial intelligence can be used in future cloud based radio access networks. Such networks will be typical in future 5G and beyond 5G deployments, where due to cost reasons, radio and processing functions will be more centralised.
  Compact Atomic Clocks (Rubidium) with ultra low phase noise and excellent long term stability
  Research Group: Communication Technologies
  Prof J K A Everard
Applications accepted all year round

Funding Type

PhD Type

The aims of this project will be to develop compact Atomic Clocks (Rubidium) with ultra low phase noise and excellent long term stability.
  Computational neuroscience: neural signal processing & neural computing
  Research Group: Intelligent Systems and Nanoscience
  Dr D Halliday
Applications accepted all year round

Funding Type

PhD Type

The human brain is one of the most complex systems known to man. It consists of vast numbers of interacting units (called neurones) that communicate with each other using sequences of pulses (called spike trains).
  Crosslayer Design for Cognitive Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will examine how crosslayer design can be used to improve the performance of future cognitive networks, including how cognitive principles can be exploited in 5G and beyond 5G networks.
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