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We have 21 Communications Engineering (information system) PhD Projects, Programmes & Scholarships

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Communications Engineering (information system) PhD Projects, Programmes & Scholarships

We have 21 Communications Engineering (information system) PhD Projects, Programmes & Scholarships

Gesture-Agnostic Radar-Based Hand Tracking for VR/AR Systems

Supervisory Team:  Dr Shelly Vishwakarma. Project description. Virtual reality (VR) and augmented reality (AR) are rapidly becoming integral to our digital experiences, necessitating the need for interfaces that are both non-intrusive and safeguard user privacy. Read more

Hybrid OFDM transmission system for connected autonomous vehicles

Orthogonal Frequency Division Multiplexing (OFDM) is a technique that exploits orthogonal carriers to transmit information and enhance received signal diversity and consequently increase received signal-to-noise ratio (SNR). Read more

Optimising dynamic scheduling in smart manufacturing through reinforcement learning PhD

This PhD aims to develop an adaptive self-organising solution for dynamic scheduling in job-shop manufacturing. The research will introduce an innovative approach that integrates deep reinforcement learning and multi-agent systems to rapidly respond to emergencies and disruptions. Read more

Next Generation SDR Techniques for Millimetre Wave Systems

Applications are invited for PhD candidates on the themes described below, as part of The University of Sheffield’s Communications Research Group and EPSRC National Millimetre Wave Measurement Laboratory. 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

Semantic random-access technology for future wireless ecosystems

  Research Group: Communication Technologies
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

Cyber Security for Active and Flexible Networks (Cyber-SAFEN)

The electricity network serves as the interface between distributed generation, active demand and local flexibility market, and digital substations are enablers for the network power flow to be controlled and directed safely and securely. Read more

Learning for Control: Enabling Efficient Networked Autonomous Systems

Supervisory Team: Konstantinos Gatsis . Project description. There is an ongoing transformation in engineering autonomous systems that aim to achieve complex objectives with limited human intervention in applications such as robotics, self-driving cars, and industrial systems. Read more

Active Noise Control on Controllable Flexible Surfaces

Supervisory Team. Chuang Shi, Jordan Cheer. Project description. Active noise control (ANC) has been developed over many years to mitigate unwanted noise in various environments. Read more

Development of RF MEMS for 6G communication

Supervisory Team:  Kees de Groot & Harold Chong. Project description. Applications are invited for this prestigious 3.5-year Industrial PhD studentship to work on an exciting collaboration between Electronics and Computer Science at the University of Southampton and Analog Devices Inc. Read more

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

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

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