PhD AI-Driven Policy Enforcement for vehicular networks
PhD @Loughborough University posted 11 hours agoJob Description
Project details
This project aims to enhance data governance in connected vehicle ecosystems by developing AI-powered tools to detect, enforce, and respond to policy violations. Building on existing governance frameworks, the project will explore how machine learning and rulebased
systems can automatically monitor data flows, identify non-compliant behaviour, and ensure that data usage aligns with legal and organisational policies. The outcome will include a prototype demonstrating real-time governance enforcement in a simulated vehicular
network.
94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Supervisors
Primary supervisor: Asma Adnane
Entry requirements
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the drop-down below.
Entry requirements for United Kingdom
The ideal candidate should have a strong background in computer science or a related discipline, with knowledge of machine learning, artificial intelligence, and data governance principles. Experience with programming (e.g. Python), AI frameworks (such as TensorFlow or PyTorch), and rule-based systems is essential. Familiarity with networking or connected vehicle technologies is desirable. The student should be capable of designing and evaluating intelligent systems in a complex, data-driven environment.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Fees and funding
Tuition fees for 2025-26 entry
UK fee
£5,006 Full-time degree per annum
International fee
£28,600 Full-time degree per annum
Fees for the 2025-26 academic year apply to projects starting in October 2025, January 2026, April 2026 and July 2026.
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
How to apply
All applications should be made online. Under programme name, select Computer Science. Please quote the advertised reference number: CO/AA-SF2/2025 in your application.
To avoid delays in processing your application, please ensure that you submit a CV and the minimum supporting documents.
The following selection criteria will be used by academic schools to help them make a decision on your application. Please note that this criteria is used for both funded and self-funded projects.
Please note, applications for this project are considered on an ongoing basis once submitted and the project may be withdrawn prior to the application deadline, if a suitable candidate is chosen for the project.
