Publisher
source

Coventry University

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PhD Studentship in Protective Security Resource Allocation Using Stackelberg Security Games and Reinforcement Learning Coventry University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 25, 2026

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Country

United Kingdom

University

Coventry University

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Keywords

Computer Science
Information Technology
Mathematics
Risk Assessment
Mathematical Modeling
Game Theory
Reinforcement Learning
Monte Carlo Simulation
Optimisation
Statistics
Decision Support System

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About this position

PhD studentship at Coventry University in Protective Security Resource Allocation Using Stackelberg Security Games and Reinforcement Learning.

This project sits at the intersection of computer science, mathematics, statistics, optimisation, game theory, and AI. It focuses on how protective security resources can be allocated across sites and locations in the UK and South Africa under uncertainty, using Stackelberg security games, reinforcement learning, simulation, and decision-support modelling.

The research will examine defender-attacker resource allocation, bounded rationality, probabilistic and adaptive adversary models, robustness, scalability, and how improved site-risk estimates can be integrated into allocation models. The work is intended to be explainable, empirically grounded, and relevant to protective security practice, including critical infrastructure and transport/event settings.

This is a cotutelle PhD between Coventry University (UK) and Stellenbosch University (South Africa). The successful candidate will be primarily based in Coventry and will also spend a significant period of study in South Africa.

Funding: tuition fees and bursary are included. Duration: full-time, fixed term, 3 to 3.5 years. Start date: January 2027. Deadline: 25 August 2026.

Eligibility highlights: relevant first degree and master's degree with merit-level marks, strong quantitative background, programming skills, and IELTS Academic 7.0 overall with 6.5 in each component. Experience with machine learning, optimisation, simulation, or protective security is desirable.

For more information, contact Professor Andrew Glazzard at ad8215@coventry.ac.uk. Applications require supporting documentation, a covering letter, and a 2000-word supporting statement.

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.

More information can be found here

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