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PhD Studentship: Edge intelligence for Internet of Things

University of Leeds - School of Computer Science

Qualification Type: PhD
Location: Leeds
Funding for: UK Students
Funding amount: School of Computer Science Studentship offering the award of fees, together with a tax-free maintenance grant of £19,237 per year for 3.5 years. Training and support will also be provided.
Hours: Full Time
Placed On: 9th October 2024
Closes: 30th October 2024

Lead Supervisor’s full name & email address

Dr Xu Zhang – x.zhang15@leeds.ac.uk

Co-supervisor’s full name & email address

Professor Jie Xu – j.xu@leeds.ac.uk

Project summary

Edge intelligence for the Internet of Things (IoT) presents a revolutionary solution to the limitations of existing approaches to data processing and decision-making. Traditional methods, heavily reliant on centralized cloud infrastructure, often encounter challenges such as latency issues, bandwidth constraints, and security vulnerabilities. In contrast, edge intelligence decentralizes data processing by leveraging localized computational power and analytics capabilities, thereby reducing latency, enhancing data privacy, and minimizing bandwidth usage. This approach facilitates real-time analysis of data streams, enabling rapid insights and responses without continuous connectivity to the cloud. Moreover, edge intelligence empowers IoT devices to perform autonomous decision-making based on local insights, fostering efficiency and reliability across diverse industries.

The candidate in this role is expected to delve into the multifaceted landscape of Edge Computing, AI, and IoT and aim to unlock new possibilities for intelligent and efficient IoT systems.

Please state your entry requirements plus any necessary or desired background

First or Upper Second Class UK Bachelor (Honours) or equivalent

Subject Area

Computer Science & IT

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