Electrical Engineering PhD Projects, Programmes & Scholarships in York

We have 28 Electrical Engineering PhD Projects, Programmes & Scholarships in York

Computational neuroscience: Statistical signal processing for multivariate neuronal data, Neural computing with Spiking neural networks.

University of York School of Physics, Engineering and Technology

Research Group: Healthcare Engineering

How does the human brain work? As you read this text, the pixels on your screen are converted into a series of spike trains passing along the neural pathways in your brain, allowing you to understand the content. Read more

Supervisor: Dr D Halliday

Year round applications PhD Research Project Self-Funded PhD Students Only

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Dynamic modelling and model based control of Compliant Hybrid Robots

University of York School of Physics, Engineering and Technology

Research Group: Intelligent Systems and Robotics

Recent trends and the evolution of robots suggest a greater integration of automated robots into everyday life. These robots are expected to serve various roles, including service robots, healthcare assistants, inspection robots, and more. Read more

Supervisor: Dr BJ Jamil

Year round applications PhD Research Project Self-Funded PhD Students Only

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Influence of listener movement on tonality and spatial quality in adaptive immersive surround sound systems

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

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. Read more

Supervisor: Prof G Kearney

Year round applications PhD Research Project Self-Funded PhD Students Only

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Improvements in headphone based 3-D audio using adaptive binaural signal processing and robust head-tracking

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

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. Read more

Supervisor: Prof G Kearney

Year round applications PhD Research Project Self-Funded PhD Students Only

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High-lifespan many-core devices

University of York School of Physics, Engineering and Technology

Research Group: Intelligent Systems and Robotics

Switching activity and other technology-related parameters have a significant effect on circuit aging and can therefore affect the lifespan of devices. Read more

Supervisor: Dr G Tempesti

Year round applications PhD Research Project Self-Funded PhD Students Only

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Exploitation of Full-Duplex Capability in Underwater Acoustic Communication Networks at the Medium Access Control Layer

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

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. Read more

Supervisor: Prof P D Mitchell

Year round applications PhD Research Project Self-Funded PhD Students Only

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Energy-harvesting based MAC protocols for Wireless Sensor Networks

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

A plethora of energy-efficient MAC protocols have been developed for wireless sensor networks based on the assumption of readily available (if somewhat limited) battery power. Read more

Supervisor: Prof P D Mitchell

Year round applications PhD Research Project Self-Funded PhD Students Only

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Artificial Intelligence based Electric Vehicle Motor Control

University of York School of Physics, Engineering and Technology

Research Group: Intelligent Systems and Robotics

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based control methods to optimize the performance of electric vehicle motor drive system in terms of reliability and efficiency. Read more

Supervisor: Dr X Zhao

Year round applications PhD Research Project Self-Funded PhD Students Only

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Application of Satellite Medium Access Control Principles to Underwater Acoustic Communication Networks

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

Acoustic waves are widely accepted as the most suitable means of communicating underwater, since radio waves suffer from severe attenuation through water. Read more

Supervisor: Prof P D Mitchell

Year round applications PhD Research Project Self-Funded PhD Students Only

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Multi-Fidelity Modelling of Rechargeable Battery Degradation

University of York School of Physics, Engineering and Technology

Research Group: Intelligent Systems and Robotics

Rechargeable batteries play a key role in electric vehicles and transition to net zero. One of the current challenges in batteries is degradation, which causes capacity retention and resistance increase as the battery cycles. Read more

Supervisor: Dr E Hosseinzadeh

Year round applications PhD Research Project Self-Funded PhD Students Only

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Artificial Intelligence based Electric Vehicle Motor Design

University of York School of Physics, Engineering and Technology

Research Group: Intelligent Systems and Robotics

Electric vehicle development has been a hot topic around the world. This PhD programme will develop artificial intelligence based computational tools to accelerate electric vehicle motor design and optimization process. Read more

Supervisor: Dr X Zhao

Year round applications PhD Research Project Self-Funded PhD Students Only

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Realistic Underwater Acoustic Propagation Model for Medium Access Control Protocol Evaluation

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

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

Supervisor: Prof P D Mitchell

Year round applications PhD Research Project Self-Funded PhD Students Only

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Intelligent Medium Access Control for Underwater Acoustic Communication Networks

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

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. Read more

Supervisor: Prof P D Mitchell

Year round applications PhD Research Project Self-Funded PhD Students Only

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Audio for Virtual and Augmented Reality

University of York School of Physics, Engineering and Technology

Research Group: Communication Technologies

Recent developments in low cost VR displays have led to a resurgence of research into binaural 3-D audio. Whilst a good 3-D audio experience can be given using the state of the art technologies, there are still many problems to be solved. Read more

Supervisor: Prof G Kearney

Year round applications PhD Research Project Self-Funded PhD Students Only

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