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We have 82 Communications Engineering PhD Projects, Programmes & Scholarships

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Communications Engineering PhD Projects, Programmes & Scholarships

We have 82 Communications Engineering PhD Projects, Programmes & Scholarships

PhD candidates in Communications Engineering research the technologies we use to communicate with one another, such as mobile networks, internet, radio and audio-visual appliances. Research in the field seeks to improve and maintain high-speed data transmission services, used for anything from interpersonal phone calls to space-based satellite communication.

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

As a PhD student in Communications Engineering, much of your time will be spent conducting lab-based research, working on your thesis and attending supervisory meetings. You’ll likely work as part of a research group, either under a single supervisor or supervisory team. Your research may include employing a range of technologies such as signal processing, machine learning and optical systems.

Possible research areas include:

  • Space to ground laser communication
  • Radar antenna systems
  • The Internet of Things (IoT)
  • Advanced cellular communication technology
  • Social networking
  • Machine-to-machine communication

You may also be provided with training in areas such as research methodologies and presentation skills, and have the opportunity to attend conferences, publish papers and teach undergraduate students.

PhD in Communications Engineering entry requirements

The minimum entry requirement for a PhD in Communications Engineering is usually a 2:1 undergraduate degree in a relevant engineering or computing discipline. A Masters may occasionally be required.

PhD in Communications Engineering funding options

The main body funding PhDs in Communications Engineering in the UK is the Engineering and Physical Sciences Research Council (EPSRC). Projects will almost always have funding attached, meaning that successful applicants will automatically be awarded coverage of tuition fees, a living cost stipend, and often an extra research grant.

It may be possible to self-fund a PhD in Communications Engineering, but this is uncommon. Students who self-fund an Engineering or Computer Science PhD generally do so through combining the UK’s doctoral loan with additional sources of funding such as support from their university or from a charity or trust.

PhD in Communications Engineering careers

Communications Engineering is a field that underlies much of makes modern life possible – meaning that is plenty of demands for experts in the area! You could apply for a specialist position within sectors such as internet and computing technologies, telecommunications or radio, or continue your research career to help develop and improve communications systems.

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Sonars for precise underwater autonomous vehicle (AUV) navigation.

  Research Group: Communication Technologies
There is a great interest in underwater autonomous vehicles (AUVs) and currently many companies develop AUVs for multiple applications. Read more

Model-based Approach for Prognostics Health Management (PHM) for Fusion Reactors

  Research Group: Plasma and fusion science and technologies
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI, bringing about a revolution in the design and operation of systems. 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

Integrated High Altitude Platform: LEO Satellite Mega-Constellations for Next Generation Non-Terrestrial Networks

  Research Group: Communication Technologies
LEO satellite mega constellations promise to revolutionise wireless connectivity in many areas of the world. However, they have a fundamental drawback in that conventional cellular user equipment cannot be used directly. Read more

Immersive Audio for Virtual Production

  Research Group: Communication Technologies
We seek a candidate to work in the area of immersive sound for virtual production technologies for live performance. We are interested in PhDs to develop the underlying signal processing and perceptual evaluation of shared, networked immersive audio enviroments across a range of different contexts and experiences. 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

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

Explainable AI for Safety Critical Engineering Systems

  Research Group: Intelligent Systems and Robotics
The University of York is at the forefront of transformative research in data-centric engineering, digital twins, and AI. Our pioneering work is revolutionizing the design of complex systems by harnessing the power of data. 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

Artificial Intelligence enabled Distributed Edge-Centric Cellular Networks

  Research Group: Communication Technologies
Today, wireless cellular networks rely heavily on the core network to deliver services. This introduces latency and other inefficiencies. Read more

6G Wireless Communications for Connected and Autonomous Vehicles in Challenging Environments

  Research Group: Communication Technologies
Future autonomous and semi-autonomous vehicles will rely significantly on wireless connectivity to exchange information between other vehicles (V2V) and infrastructure (V2I). Read more

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