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We have 329 Electrical Engineering PhD Projects, Programmes & Scholarships

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Electrical Engineering PhD Projects, Programmes & Scholarships

We have 329 Electrical Engineering PhD Projects, Programmes & Scholarships

A PhD in Electrical Engineering is an opportunity to conduct original research into the design, construction and maintenance of electrical machinery and equipment. Your research will help advance the technologies that make modern life possible and underpin sectors such as transport, energy, and manufacturing – to name a few.

What’s it like to study a PhD in Electrical Engineering?

Working under the guidance of an expert supervisor or supervisory team, you’ll work towards completing a thesis that will make an original contribution to the field of Electrical Engineering. You will likely divide your time between lab-based research, supervision meetings and writing your thesis. Many universities also offer departmental training in areas such as research methodologies and presentation skills.

Possible research areas include:

  • Intelligent sensing and communications
  • Power and energy systems
  • Electronic engineering for agriculture
  • Photonics and optical communications
  • Advanced material science
  • Autonomous vehicles
  • Robotics systems and artificial intelligence

Your research may involve collaboration with academics from other departments, or with industrial partners. You also may have the opportunity to connect with the wider academic community through attending conferences and publishing papers.

Most PhDs Electrical Engineering are pre-designed, but some universities may accept applications for self-proposed projects. If you are planning to design your own research proposal, it will need to align with the research priorities of the department and the expertise of your prospective supervisor.

Entry requirements for a PhD in Electrical Engineering

The minimum entry requirement for a PhD in Electrical Engineering is usually a 2:1 undergraduate degree in a relevant subject area such as Engineering, Computer Science, Physics or Material Science, although a Masters may sometimes be required. You may occasionally be able to gain entry onto an Electrical Engineering PhD with a lower-class degree if you have a Masters and/ or relevant work experience.

PhD in Electrical Engineering funding options

The main body funding Electrical Engineering PhDs in the UK is the Engineering and Physical Sciences Research Council (EPSRC). Most projects have funding attached, meaning that you’ll automatically be awarded tuition fee coverage, a living cost stipend, and a research grant if you are accepted onto the programme.

Some students may propose their own research topic or apply for a project without attached funding (though this is less common). It may be possible to self-fund your PhD by combining the UK government’s doctoral loan with additional sources of funding such as support from your university or from a charity or trust.

PhD in Electrical Engineering careers

A PhD in Electrical Engineering can open up many career opportunities. You may decide to continue your research career, for example by applying for a postdoc leading to an eventual permanent academic position. Electrical engineers are in demand in a vast range of sectors, including transport, IT, energy, defence, healthcare and many more. Having a qualification such as a PhD may qualify you for specialist engineering positions.

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Picometre Surface Nanoscale Axial Photonics

Applications are invited for a Postgraduate studentship, supported by Aston Institute of Photonic Technologies to be undertaken within the College of Engineering and Physical Sciences at Aston University. . Read more

PhD Engineering Scholarship: Advanced Human Interfacing Technology and Machine Learning Methods for Real-Life Assistive Robotic Exoskeleton

The progress on advanced signal processing techniques and machine learning algorithms allows us to non-invasively interface with our central nervous system using sensors such as high-density surface electromyographic recordings (HDsEMG). Read more

Wave devouring propulsion for marine decarbonisation PhD

This exciting fully funded PhD is sponsored by EPSRC, with an enhanced stipend of £20,000 per annum (with fees covered). This project will develop the new technology for wave-based thrust harvesting for various floating platforms for marine decarbonisation. . Read more

Design of Superconducting Electric Machines for Zero Emission Transport

The Institute for Energy Systems, School of Engineering, at the University of Edinburgh, is inviting applications for the following fully-funded PhD project, expected to commence on 1st September 2024. Read more

Plasma-based gas conversion into value-added chemicals

  Research Group: Plasma and fusion science and technologies
Plasmas are promising technology for the conversion of gases such as CO2, CH4 or N2 into more valuable ones, e.g. CO (starting material for alcohols and hydrocarbons), H2 (clean fuel applications) and NH3 (fertilisers). Read more
Last chance to apply

Towards developing novel actuation method of soft robotic devices towards medical applications

  Research Group: Healthcare Engineering
Beating-heart procedures represent a less invasive alternative to standard open-heart surgery with fewer perioperative complications, and shorter recovery time. Read more

Novel Multi-axis MEMs Force Sensors for Robotic Applications

  Research Group: Intelligent Systems and Robotics
Robots heavily rely on sensors to interact with their environment. Among these sensors, multi-axis force sensors play a pivotal role in enabling robots to safely interact with objects. Read more

Machine learning in underwater acoustic communication modems

  Research Group: Communication Technologies
Machine learning is an approach that is useful when a practical optimisation problem is difficult to describe precisely. This approach has found multiple applications. Read more

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

  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

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

  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

Human Interaction with Low-Speed Autonomous Vehicles

  Research Group: Intelligent Systems and Robotics
The University of York is embarking on ground-breaking research that focuses on data-centric engineering, digital twins, and AI, revolutionizing the way systems are designed and optimized through data. Read more

How AI-driven design tools influence intrapreneurship in engineering businesses

  Research Group: Engineering Education and Management
Artificial Intelligence (AI) is profoundly influencing and revolutionizing the engineering industry by significantly enhancing productivity, efficiency, safety, and innovation across various domains. Read more

High-lifespan many-core devices

  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

High-frequency underwater acoustic communication for image transmission.

  Research Group: Communication Technologies
Communication using acoustic waves is the main underwater communication technology, since electro-magnetic waves quickly attenuate underwater. Read more

High data rate adaptive underwater acoustic networks

  Research Group: Communication Technologies
The ocean plays a key role in supporting all living organisms on our planet, yet the vast majority of the ocean remains unmapped and unobserved. Read more

Full-duplex underwater acoustic systems

  Research Group: Communication Technologies
Acoustic signal transmission is the only feasible technology for long-range (>10-100m) underwater communication, navigation and sonar systems. Read more

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

  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

Energy-harvesting based MAC protocols for Wireless Sensor Networks

  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

Dynamic modelling and model based control of Compliant Hybrid Robots

  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

Deployable Mobile Robots for autonomous inspection applications

  Research Group: Intelligent Systems and Robotics
The adoption of autonomous robots for industrial inspection holds significant appeal, primarily due to their capacity to operate in various environments without concern for safety and health hazards. Read more

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

  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

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