Up to 30% off — ends 7 Aug
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Up to 30% off — ends 7 Aug
ONLY00h00m00s
Simon Parkinson
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11 months ago
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AI and LLM-based trust management schemes for vehicular platoons University of Huddersfield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
United Kingdom
University
University of Huddersfield
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About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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We are pleased to announce a fully funded EPSRC PhD studentship at The University of Huddersfield:
“Designing Efficient Trust Management Framework using AI/LLM for Vehicular Platoons”
Vehicular platoons are a novel transportation technology in which heavy goods vehicles travel in a tight formation at high speeds by sharing sensitive data to maintain coordination. This project addresses the critical need for secure and trustworthy communication in such environments. It will develop AI and LLM-based trust management schemes to detect malicious behavior promptly, ensuring data integrity and enhancing overall network safety and security. The research will contribute to the secure deployment of intelligent mobility systems, particularly in logistics and autonomous transport.
Supervisors: Dr Farhan Ahmad (main), Prof Simon Parkinson (co-supervisor)
Location: University of Huddersfield
Duration: 3 years full-time
Funding: Full tuition + £20,780 tax-free stipend per year
Deadline: 1st August 2025
Start date: 1st October 2025
Link: EPSRC Scholarships Huddersfield
Entry Requirements:
1) BSc/MSc in Computer Science, Cyber Security, or any relevant discipline, or substantial and applicable work experience.
2) Knowledge or interest in Artificial Intelligence, Large Language Models.
3) Familiarity or interest in cryptography, post-quantum cryptographic algorithms.
4) Programming experience in C/C++ or Python.
5) Knowledge of vehicular networks is advantageous.
6) Excellent analytical and problem-solving skills
7) This opportunity is open to UK-based applicants only.
Please reach out with any questions: [email protected]
Please see the attached flyer for further information.