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

We have 18 University of York, Department of Electronic Engineering Computer Science & IT PhD Projects, Programs & Scholarships

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  5G Wireless Communications from High Altitude Platform Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

Taking into account the significant, ongoing high altitude platform projects by Google and Facebook, this project will examine how a network of high altitude platforms can be used to deliver 5G wireless communications.
  AI and Machine Learning for the diagnosis and monitoring of Parkinson’s and Alzheimer’s disease
  Research Group: Intelligent Systems and Nanoscience
  Prof S Smith
Applications accepted all year round

Funding Type

PhD Type

The Department has long-standing research collaborations with hospitals and medical centres worldwide developing new approaches to the diagnosis and monitoring of neurological conditions, including Parkinson’s and Alzheimer’s.
  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.
  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.
  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).
  Developmental dynamics for Network-on-Chip systems
  Research Group: Intelligent Systems and Nanoscience
  Dr G Tempesti
Applications accepted all year round

Funding Type

PhD Type

The Network-on-Chip (NoC) paradigm, a subject of intense research in both the academic and the industrial worlds, is based on the parallel execution of program threads on many relatively simple processing elements.
  Evolutionary mapping of algorithms to arrays of processors
  Research Group: Intelligent Systems and Nanoscience
  Dr G Tempesti
Applications accepted all year round

Funding Type

PhD Type

The Network-on-Chip (NoC) paradigm is a subject of intense research in both the academic and the industrial worlds. Based on the parallel execution of program threads on many relatively simple processing elements, this approach suffers however from a crucial weakness.
  Hybrid description methods for human faces
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round

Funding Type

PhD Type

The group has pioneered the application of conditional probability density estimation to describing human faces. Our methods allow a system to estimate the age, sex, race and facial expression of people in a real-time video sequence.
  Investigations into autonomous adaptable hardware
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

For systems to become truly autonomous we must develop methods that will allow hardware devices/systems to adaptable in an intelligent and appropriate way to environmental changes and component failures.
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