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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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  Robust Cognitive Radio Resource and Topology Management for 5G Heterogeneous Networks
  Research Group: Communication Technologies
  Prof D Grace
Applications accepted all year round

Funding Type

PhD Type

This project will explore how learning and reasoning should be applied to radio resource and topology management strategies in 5G and beyond 5G heterogeneous networks, while ensuring that they remain robust to mobile device malfunction and system attacks, which exploit the distributed nature of the control.
  Simulation of complex systems on reconfigurable hardware
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

The research will investigate advanced FPGA architectures that better support complex system simulations, by considering the practical implications of implementing complex system models on a hardware platform.
  Smart Medical Device for Minimally Invasive Cancer Treatment
  Prof Z Tse, Prof A M Tyrrell
Application Deadline: 31 January 2020

Funding Type

PhD Type

The Medical Robotics Lab at the University of York has career opportunities in the area of Medical Robotics and Medical Mechatronics.
  Soundfield analysis and synthesis using higher order ambisonics
  Research Group: Communication Technologies
  Dr G Kearney
Applications accepted all year round

Funding Type

PhD Type

Ambisonics is a spatial audio capture and reproduction system that has been utilised since the 1970’s, primarily for music reproduction, but has of late gained significant interest in broadcast, gaming and interactive immersive video frameworks.
  Soundscape analysis and auralisation
  Research Group: Communication Technologies
  Prof D Murphy
Applications accepted all year round

Funding Type

PhD Type

Traditional research in auralisation focuses on the development of sound propagation and rendering algorithms for bounded geometries – that is, rooms, halls or any form of enclosed space.
  Spintronics with Topological Semimetals
  Research Group: Intelligent Systems and Nanoscience
  Prof Y Xu
Applications accepted all year round

Funding Type

PhD Type

According to Moore’s law, the number of transistors in integrated circuits doubles approximately every two years. If this trend continues, the atomic length scales will be reached within several years.
  The role of vibrato in the aesthetic of blended choral singing
  Research Group: Communication Technologies
  Dr H Daffern
Applications accepted all year round

Funding Type

PhD Type

A fundamental aspect of good choral singing identified by performers, directors, critics and theorists is the concept of blend. Blend is a term that has essentially come to encompass all aspects of singing that lead to a sound in which no one voice is distinguishable from another.
  The virtualised radio access network (vRAN)
  Research Group: Communication Technologies
  Prof A Burr
Applications accepted all year round

Funding Type

PhD Type

To implement the ultra-dense wireless access network required for fifth generation (5G) and beyond networks, the “cloud-RAN” and now the “virtualised RAN” paradigms have been developed.
  Transmitter optimization techniques for physical layer security
  Research Group: Communication Technologies
  Dr K Cumanan
Applications accepted all year round

Funding Type

PhD Type

Physical layer security has been recently recognized as a promising new design paradigm to provide security in wireless networks in addition to the existing conventional cryptographic methods, where physical layer dynamics of fading channels are exploited to establish secured wireless links.
  Using evolutionary computation to design the next generation of nano-CMOS systems
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell
Applications accepted all year round

Funding Type

PhD Type

It is widely recognised that variability in electronic device characteristics and the need to introduce novel device architectures both represent major challenges to scaling and integration for present and next generation nano-CMOS transistors and circuits.
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