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We have 393 Electrical Engineering PhD Projects, Programmes & Scholarships for Self-funded Students

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Electrical Engineering PhD Projects, Programmes & Scholarships for Self-funded Students

We have 393 Electrical Engineering PhD Projects, Programmes & Scholarships for Self-funded Students

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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Intelligent and Efficient Testing and Verification of Deep Neural Networks

About the Project. Deep Neural Networks (DNNs) have demonstrated human-level capabilities in several challenging machine learning tasks including image classification, natural language processing and speech recognition. Read more

Resilient autonomous navigation and sematic mapping for agriculture robots

This PhD project aims to develop fundamental methods and practical solutions for agriculture robots to navigate through a variety of agricultural environments, including crop fields, orchards and polytunnels, and operate safely and reliably across different growing seasons. Read more

Advanced Composites Structures FEA/CFD Modelling Design and Manufacturing

Introduction. The most common composite material consists of carbon or glass fibres that are bonded together with a polymer matrix and are often referred to as carbon or glass fibre reinforced plastics (CFRP or GFRP). Read more

PhD in Semiconductor Quantum Technology

Are you looking to get advanced doctorate-level training and become a future quantum engineer? We are looking for a highly motivated and enthusiastic student to join our research team for two of our PhD projects in Quantum Technology. Read more

PhD in Electronic equipment for Quantum Technologies

Are you looking to get advanced doctorate-level training and become a future quantum engineer? We are looking for a highly motivated and enthusiastic student to join our research team for a PhD project in Instrumentation for Quantum Technologies. Read more

PhD in Ultrafast photonics for high frequency 6G (THz) communications

Are you looking to get advanced doctorate-level training and become a future 6G communication engineer? We are looking for a highly motivated and enthusiastic student to join our research team for two of our PhD projects in high frequency THz electronics. Read more

Optical fiber-based RF-breakdown detection and prediction

The QUASAR Group, based at the Cockcroft Institute, in collaboration with the beam instrumentation company D-Beam Ltd, have pioneered the development and commercialization of optical fiber-based beam loss monitors for particle accelerators. Read more

A Robot Chemist that can Learn from Humans

Background and introduction. Chemistry experimentation is fundamental to scientific research and development. Nevertheless, it often entails time-consuming, labour-intensive processes that are susceptible to human error. Read more

Bio-Inspired Models and Biologically Plausible Mechanisms for Long-Term Motion Learning

Biological systems can learn from interactions with their environment throughout their lifetime. Learning is a defining ability of biological systems, whereby experience leads to behavioral adaptations that improve performance. Read more

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