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We have 44 Electronic Engineering PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in York






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Electronic Engineering PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in York

We have 44 Electronic Engineering PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in York

PhD candidates in Electronic Engineering research the electronic components such as semiconductors, resistors and inductors, and the devices they power. Electronic systems are near-ubiquitous in in modern industry, and your research could help promote developments in a wide range of sectors including communications, computing, healthcare, energy and transport.

What’s it like to study a PhD in Electronic 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 Electronic 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:

  • Nanoelectronics
  • Electromagnetic fields
  • Photonics
  • Semiconductor electronics
  • Antennas, radar and navigation
  • Optical materials and devices

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 in Electronic 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.

PhD in Electronic Engineering entry requirements

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 Electronic Engineering funding options

The main body funding Electronic 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 Electronic Engineering careers

Career opportunities in Electronic Engineering are wide-ranging. Expertise is in demand in cutting-edge industries including cybersecurity, blockchain and BitCoin, as well as the sectors that make day-to-day modern life possible such as transport, energy and manufacturing.

You may also choose to continue your academic career, for example by applying for a postdoc that eventually leads to a permanent research position.

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Evolving the adjacent possible for engineering design

The power of natural evolution is all around us in the major branches of life that fill our world, underpinned by a genetic code that describes all creatures from bacteria to bananas to baboons. Read more

Optimisation surface characterisation

Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters. Read more

Liquid Transistors: Real-time Probabilistic Computing with Non-linear Analogue Components

"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. Read more

Exploring Thermomechanical Properties of 2D materials

2D materials such as molybdenum disulfide (MoS2), black phosphorus, and molybdenum ditelluride (MoTe2) are among viable key materials for electromechanical applications. Read more

Artificial Intelligence based Electric Vehicle Motor Monitoring

Electric vehicles are becoming increasingly popular around the world. The use of electric motor and power electronics, brings new research challenges in terms of system reliability under harsh working conditions. Read more

Artificial Intelligence based Electric Vehicle Motor Design

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

Machine learning in underwater acoustic communication modems

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

Explainable AI for 6G and future open networks

Explainable AI (XAI) is an emerging field that aims to make AI models easier to understand and interpret. With the advent of 6G and future open networks, XAI will become increasingly important in ensuring the trustworthiness of AI models and systems. Read more

Real-time Networked based Musical Interaction in virtual immersive environments

There is a high demand for making and consuming live music over networked based systems. Virtual recording studios, performance venues and rehearsal spaces are within our technological grasp, bridging gaming technologies, low latency networking and immersive audio strategies. Read more

Semantic random-access technology for future wireless ecosystems

This PhD project will research into new technical innovations that can embrace today’s machine learning advances into a process of designing and managing wireless communications for emergent AI agents, where they will mimic human ability to effectively learn, fine-tune and adapt skills of conveying semantic information. Read more

Toward a drone-based electroluminescence inspection for photovoltaic (PV) installations

Recent advancements and cost reductions in unmanned aerial vehicle (UAV)technology have led to the adoption of UAVs equipped with thermal cameras to inspect solar photovoltaic (PV) installations. Read more

Soundscape Research: Analysis, Auralisation, and Assessment

The simulation of sounds in our natural environment is important for us be able to more reliably model and analyse the acoustic results of small or large-scale, human interventions, such as a newly proposed road, airport or rail project. Read more

Peer-sourcing AI agents for future network autonomy

All connected services across emergent edge-computing devices will run directly or indirectly from the future 6G wireless ecosystems (e.g., unmanned automotive/ship, digital twins, extended reality, etc.) In 2025, the 5G will cover more than 50% of total wireless media revenue and this grows up to about 80% in 2028. Read more

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