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AI-driven decision-support for sustainable infrastructure

This PhD develops AI-driven decision-support tools for sustainable civil infrastructure. Using machine learning, probabilistic methods, and real-time data, you’ll guide life-cycle assessments from design to end-of-life. The goal is to help engineers and policymakers balance safety, cost, and environmental impact—advancing smarter, more resilient, and sustainable infrastructure systems.

Primary supervisor: Emmanouil Kakouris - Email: Emmanouil.Kakouris@warwick.ac.uk

Project detail:
What you’ll gain
🧠 Expertise in decision-making theory and life-cycle assessment.
🔢 Skills in probabilistic modelling and managing uncertainty in engineering systems.
🤖 Hands-on experience applying machine learning to civil engineering problems.
💻 Strong programming and development skills (Python, MATLAB).
🌍 A unique research profile tackling global challenges in sustainability and resilience.

Further information can be found in https://warwick.ac.uk/fac/sci/eng/people/emmanouil_kakouris/

How to apply for admission: www.warwick.ac.uk/pgrengineering

How to apply for a scholarship: https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/


The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.

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