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

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Communications Engineering (learning) PhD Projects, Programmes & Scholarships

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

Causal Machine Learning in Aerospace PhD

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. 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

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

Data-Driven Computational Sensing and Imaging

Today's state-of-the-art imaging and sensing rely as much on computation as they do on sensor hardware. Furthermore, computational sensing and imaging is increasingly exploiting data-driven and machine learning solutions to enhance performance and develop novel hardware/software co-designed sensing systems. 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

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

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

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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