Simon Parkinson

No summary provided for this position.

A fully funded PhD studentship is available at the University of Huddersfield, supported by EPSRC, focusing on trust management in vehicular platoons. The project, titled 'Designing Efficient Trust Management Framework using AI/LLM for Vehicular Platoons,' aims to develop secure and trustworthy communication systems for heavy goods vehicles traveling in coordinated formations. The research will leverage artificial intelligence and large language models to detect malicious behavior, ensure data integrity, and enhance network safety and security, contributing to the secure deployment of intelligent mobility systems in logistics and autonomous transport. The main supervisor is Dr Farhan Ahmad, Senior Lecturer in Cyber Security, with Prof Simon Parkinson as co-supervisor. The studentship covers full tuition and provides a tax-free stipend of £20,780 per year for three years. Applicants should hold a BSc or MSc in Computer Science, Cyber Security, or a related discipline, or have substantial relevant work experience. Required skills include programming in C/C++ or Python, knowledge or interest in AI and LLMs, and familiarity with cryptography and vehicular networks. Analytical and problem-solving skills are essential. The opportunity is open to UK-based applicants only. The application deadline is August 1, 2025, with a start date of October 1, 2025. For further information or questions, contact Dr Farhan Ahmad at [email protected].

Fully funded PhD opportunity at the University of Huddersfield in the School of Computing and Engineering . The project is titled “Towards AI-Driven, Trustworthy and Quantum-Resilient Security for Connected and Autonomous Vehicles” and focuses on Quantum Computing , Cyber Security , secure communication, quantum algorithms, and quantum-resilient systems for Connected and Autonomous Vehicles (CAVs) . This is a 3-year full-time PhD with a full fee waiver and a tax-free stipend starting at £21,805 per annum for 2026/27. The opportunity is open to UK and international applicants . Applicants should have, or be close to completing, an MSc in Computer Science, Cyber Security, Artificial Intelligence, Data Science, Mathematics, Physics, Engineering, or a closely related discipline. Strong programming skills, a good understanding of algorithms, and interest in quantum computing, optimisation, cryptography, or emerging computing technologies are preferred. Supervision team: Dr Farhan Ahmad (main supervisor), Dr Mohammed Al-Mhiqani , Professor Simon Parkinson , and Dr Saad Khan . Deadline for the online application: 15 May 2026 . Apply using the scholarship link provided and contact [email protected] for questions.

University of Huddersfield is offering a fully funded PhD studentship in the School of Computing and Engineering / Department of Computer Science for an October 2026 start . The advertised project is Explainable NLP Framework for Linguistic Analysis of Coercive Control in Digital Court Evidence , supervised by Dr Anju Johnson with Professor Simon Parkinson as co-supervisor. This project sits at the intersection of Computer Science , Natural Language Processing , Computational Linguistics , and ethical AI . It aims to build a judicially robust explainable AI system for detecting coercive control in large volumes of digital communication evidence. The research combines transformer-based language models with symbolic linguistic rules, longitudinal analysis, and interpretable AI methods to produce behavioural timelines and risk profiles suitable for expert reports and judicial scrutiny. Funding : 3 years full-time, covering tuition fees and a tax-free bursary/stipend starting at £21,805 per year (2026/27 rate). The studentship is open to UK and international applicants . Eligibility highlights : applicants should have or be about to complete an MSc in Computer Science, AI, Data Science, Computational Linguistics, or a closely related discipline. A minimum merit is expected; applicants with a First-Class Honours degree may also be considered. Strong Python skills and experience with Hugging Face/spaCy or similar NLP tools are important. Prior research experience is expected. International applicants must normally meet an IELTS 6.5 requirement with no element below 6, or provide an equivalent English language qualification or recent UK study evidence. Application window : submit the full application by 15 May 2026 . Shortlisted candidates are expected to be contacted by 20 May 2026, with interviews likely on 26–27 May 2026 via Teams. How to apply : prepare a motivational email stating the project title, a full CV, transcripts/certificates, proof of eligibility, and arrange two references to be sent directly by referees to the graduate admissions email. Informal project enquiries can be sent to the supervisor.