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

We have 70 University of York, Department of Electronic Engineering PhD Projects, Programs & Scholarships

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  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.
  Exploitation of Full-Duplex Capability in Underwater Acoustic Communication Networks at the Medium Access Control Layer
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

Full-duplex has the potential to double the capacity of point-to-point communication links, but these benefits can only be fully realised in communication networks through development of a suitable medium access control layer.
  Game theory based secure transmission techniques for physical layer security
  Research Group: Communication Technologies
  Dr K Cumanan
Applications accepted all year round

Funding Type

PhD Type

Recently, physical layer based secrecy communication has received considerable attention due to its suitability for dynamic network configurations and distributed processing techniques.
  Heusler alloy films for nano-spintronic devices
  Research Group: Intelligent Systems and Nanoscience
  Prof A Hirohata
Applications accepted all year round

Funding Type

PhD Type

Heusler-alloy films are theoretically predicted to show 100% spin polarisation and is therefore ideal to be used in spintronic devices [1],[2].
  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.
  Immunity of circuits and systems to Electromagnetic Interference
  Research Group: Communication Technologies
  Dr J Dawson
Applications accepted all year round

Funding Type

PhD Type

The aim of this project is to develop methods of characterising the immunity of components and predicting the immunity of electronic systems to electromagnetic interference.
  Implementation of soft-input, soft-output detectors and decoders using FPGA
  Research Group: Communication Technologies
  Prof A Burr
Applications accepted all year round

Funding Type

PhD Type

Many emerging and current wireless communication standards, such as LTE and 5G New Radio, use iteratively-decoded error correcting codes, such as turbo-codes and LDPC, based on soft-input, soft-output (SISO) component decoders.
  Improvements in headphone based 3-D audio using adaptive binaural signal processing and robust head-tracking
  Research Group: Communication Technologies
  Dr G Kearney
Applications accepted all year round

Funding Type

PhD Type

Design of immersive binaural surround systems requires an understanding of the perceptual cues for sound source localisation. Any source at a given angle of incidence to the head will create subtle time and level difference cues at the ears and is subject to spectral shaping due to the pinnae.
  Influence of listener movement on tonality and spatial quality in adaptive immersive surround sound systems
  Research Group: Communication Technologies
  Dr G Kearney
Applications accepted all year round

Funding Type

PhD Type

Whilst there is a significant body of work that focuses on the spatial quality and tonality of immersive surround sound systems for a sweet spot position, these qualities under a dynamic listening scenario (i.e.
  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

Impulse response capture of acoustic spaces for convolution-based reverb is a common application in many aspects of audio and music technology practice, and there are standardised approaches that enable high quality immersive virtual acoustic environments to be created based on real-world data.
  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.
  Multi-band microwave bandpass filter synthesis
  Research Group: Communication Technologies
  Dr R N Gajaweera
Applications accepted all year round

Funding Type

PhD Type

In recent years there has been a rapid development in dual and tri-band communication systems and now researches are concentrating on cognitive radio which can be operated in multiple frequency bands.
  Multi-user Massive MIMO with imperfect channel information
  Research Group: Communication Technologies
  Prof A Burr
Applications accepted all year round

Funding Type

PhD Type

Multi-user (MU) MIMO (of which Massive MIMO is an example) provides a means of serving multiple users in the same spectrum - however on the downlink MU-MIMO requires accurate channel state information (CSI) at the transmitter.
  New waveforms for asynchronous 5G communications
  Research Group: Communication Technologies
  Prof A Burr
Applications accepted all year round

Funding Type

PhD Type

Most current wireless systems, including the first release of the fifth generation (5G) standards, are based on OFDMA, because it is very effective for broadband transmission on multipath wireless channels.
  Optimisation surface characterisation
  Research Group: Communication Technologies
  Prof J A Robinson
Applications accepted all year round

Funding Type

PhD Type

Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters.
  Optimised coded MIMO schemes with iterative decoding and detection
  Research Group: Communication Technologies
  Prof A Burr
Applications accepted all year round

Funding Type

PhD Type

A range of powerful error-correction coding schemes which can be iteratively decoded, including LDPC and polarcodes, have been introduced to recent wireless standards, and are capable of approaching closely to the Shannon capacity limit for wireless channels.
  PhD studentship in Automotive Electromagnetic Compatibility sponsored by Ford Motor Company
  Research Group: Communication Technologies
  Dr J Dawson
Application Deadline: 31 January 2020

Funding Type

PhD Type

All new vehicles must be tested to ensure that they are not susceptible to electromagnetic interference.
  Physical layer network coding for multihop wireless networks
  Research Group: Communication Technologies
  Prof A Burr
Applications accepted all year round

Funding Type

PhD Type

The “Internet of Things” (IoT) involves very large numbers of wireless nodes embedded in appliances, vehicles, physical infrastructure, and our environment in general, for applications such as the “smart home” or “smart city”, all wirelessly connected to the core Internet.
  Power balance electromagnetic propagation models
  Research Group: Communication Technologies
  Dr J Dawson
Applications accepted all year round

Funding Type

PhD Type

In order to efficiently model electromagnetic propagation in large complex environments, power balance methods can be used. The objective of this project is to develop new aspects of the power balance model to allow it to give improved results in a number of scenarios such as.
  Predicting the Uncertainty of Electromagnetic Simulations
  Research Group: Communication Technologies
  Dr S J Porter
Applications accepted all year round

Funding Type

PhD Type

When performing an electromagnetic simulation, it is often difficult or time consuming to estimate how accurate the results are. In contrast, when doing electromagnetic measurements, making an estimate of the experimental uncertainty is a routine and well-defined process.
  Realistic Underwater Acoustic Propagation Model for Medium Access Control Protocol Evaluation
  Research Group: Communication Technologies
  Dr P D Mitchell
Applications accepted all year round

Funding Type

PhD Type

Successful prediction of the performance of medium access control protocols is dependent on a realistic model of the underlying propagation channel.
  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.
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