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for Encrypted IoT Traffic Please note, this is open to home students only. PhD Studentship:cyberQuarter funded. The Studentship is available for an October 2025 start. A PhD studentship that comprises tax-free
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for doctoral students. Overview This PhD project focuses on developing real-world deployable Machine Learning (ML) solutions integrated into Industrial Internet of Things (IoT) edge devices for condition
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an understanding of AI and IOT. The successful candidate will have to have some experience of working AI and/or IOT devices. Candidates must work well with others and represent the university when working with key
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for innovative solutions to improve worker well-being. The project proposes a novel, integrated framework leveraging virtual reality (VR), the internet of things (IoT), and machine learning (ML). Workers will
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PhD students, the Centre for Sustainable Cyber Security (CS2) has been conducting pioneering research across several areas of cyber security, from trustworthy IoT, and XR cyber security to certified
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, are at the forefront of this evolution. These technologies enable intelligent functionalities in edge devices, facilitating applications in autonomous vehicles, robotics, and Internet of Things (IoT) systems
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, thermal, electromagnetic or kinetic), are critical for the sustainable operation of wireless IoT devices and remote sensors. The world can reduce reliance on batteries and fossil-fuel-derived power if more
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(IoT) device ecosystem. Despite the technology’s potential, however, flexible electronics face numerous technology challenges. This PhD project aims to tackle one of the most critical technology
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) has been conducting pioneering research across several areas of cyber security, from trustworthy IoT to XR cyber security and protection against disinformation in social media. Thanks to these successes
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to contribute to climate-conscious innovation across sectors such as autonomous mobility, IoT, and space technologies, where energy resilience is a key differentiator.