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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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  Intelligent Medium Access Control for Underwater Acoustic Communication Networks
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

Most research in underwater acoustic communication deals with the physical layer, with primitive and inflexible multiple access, despite the medium access control layer playing a crucial role in providing efficient communication.
  Intelligent Robot for Prostate 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.
  Interactive spatial audio rendering
  Research Group: Communication Technologies
  Prof D Murphy
Applications accepted all year round

Funding Type

PhD Type

Developments in measuring the acoustic characteristics of concert halls and opera houses are leading to standardized methods of impulse response capture for a wide variety of auralisation applications, including many surround-sound formats.
  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.
  Liquid Transistors: Real-time Probabilistic Computing with Non-linear Analogue Components
  Research Group: Intelligent Systems and Nanoscience
  Dr M Trefzer
Applications accepted all year round

Funding Type

PhD Type

"Perfection has always been expensive". An area where this is certainly true, and is rapidly becoming more so, is electronic systems design where the goal is to perform useful, stable computation.
  Low Power Design of FPGA Systems
  Research Group: Intelligent Systems and Nanoscience
  Prof A M Tyrrell, Dr G Tempesti
Applications accepted all year round

Funding Type

PhD Type

Field programmable Gate Arrays are becoming the device of choice for many (most) digital systems. They offer the flexibility of software with the performance of hardware.
  Machine learning and advance signal processing for beyond 5G network automation
  Research Group: Communication Technologies
  Dr H Ahmadi, Prof AM Tyrrell
Application Deadline: 31 January 2020

Funding Type

PhD Type

Network automation has been investigated since LTE due to its significant impact on reduction of operators’ operational expenditure (OPEX).
  Machine Learning for classifying and characterising living cell cultures
  Research Group: Intelligent Systems and Nanoscience
  Prof S Smith
Applications accepted all year round

Funding Type

PhD Type

In collaboration with the Department of Biology at the University of York and the Department of Computer Science at the University of Sheffield, programmable agent-based computational models have been developed to help interpret how populations of cells arise and repair from individual cell:cell interactions.
  Minimally Invasive Robot for Spinal Therapeutic 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.
  Modelling and design of semiconductor laser sources for high-power and ultrafast operations
  Research Group: Communication Technologies
  Dr E Avrutin
Applications accepted all year round

Funding Type

PhD Type

The project will build on the previous work on both ultrafast and high-power laser sources to model numerally and to design coherent arrays of semiconductor lasers capable of emitting powers in the range of hundreds of milliwatts to watts and above.
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