Muhammad Atif Ur Rehman
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Fully Funded PhD in AI Security for UAV Swarms at Manchester Metropolitan University Manchester Metropolitan University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity with a Grade 6 salary of £31,236 and payment of home PhD tuition fees for the duration of the six-year award. The PGTA route includes university teaching experience, and there may be an opportunity to engage with an aligned industry-focused spin-out.
Country
United Kingdom
University
Manchester Metropolitan University

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About this position
Fully funded PhD opportunity at Manchester Metropolitan University in AI security for UAV swarms and secure, trustworthy autonomous systems.
The project is titled Lightweight Trust-Aware Private Federated Learning for Secure UAV Swarms under Model Poisoning Attacks. It sits at the intersection of computer science, robotics, electrical engineering, and mathematics, with a strong focus on federated learning, edge intelligence, privacy-preserving machine learning, and adversarial AI.
The post says the successful candidate will join a PGTA PhD route, gaining valuable university teaching experience alongside doctoral research. Funding includes a Grade 6 salary of £31,236 and home PhD tuition fees covered for the full six-year award. There may also be an opportunity to engage with an aligned industry-focused spin-out in secure distributed AI.
Ideal applicants should be motivated by secure and resilient autonomous systems and interested in collaborative learning under compromised conditions in UAV swarms. No deadline is stated in the post.
Apply through the provided link and review the project details before submitting your application.
Funding details
Fully funded PhD opportunity with a Grade 6 salary of £31,236 and payment of home PhD tuition fees for the duration of the six-year award. The PGTA route includes university teaching experience, and there may be an opportunity to engage with an aligned industry-focused spin-out.
What's required
Motivated candidate interested in AI security, federated learning, UAV swarms, edge intelligence, privacy-preserving machine learning, and adversarial AI. The post highlights a PGTA route with teaching experience alongside doctoral research; no specific degree class, GPA, or language-test requirement is stated.
How to apply
Apply via the linked application portal. Review the project details and submit an application for the fully funded PGTA PhD opportunity in secure and trustworthy AI for autonomous systems.
More information can be found here
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