Available Projects
The project list below helps self-funded and externally sponsored applicants (scholarship) connect with a prospective supervisor.
Applications are welcome from those who can support themselves or have funding already arranged. Such applications will go through the same level of academic assessment. Please see the fee arrangementsLink opens in a new window for PGR students.
AI-enhanced computational modelling for fracture prediction
Can artificial intelligence (AI) help us predict when and how materials break? This PhD will combine AI and advanced computational modelling to develop faster and more accurate methods for predicting cracks and material failure. The research will explore physics-based and machine learning approaches to improve simulations, reduce computational costs and support the design of safer, stronger and more reliable materials and structures.
Primary supervisor:Emmanouil Kakouris - Email:Emmanouil.Kakouris@warwick.ac.uk
Co-supervisor:Dr Lampros Svolos (co-advisor, University of Vermont, USA)
Can AI help us predict when and how materials will break? Fracture remains one of the most challenging problems in engineering. Cracks can initiate unexpectedly, change direction and grow through materials in complex ways, while accurate simulations can be computationally expensive. This PhD will explore how artificial intelligence and advanced computational modelling can work together to make fracture simulations faster, more reliable and more useful for real engineering problems. The research will develop new physics-based and data-driven computational approaches for predicting material failure. The goal is to enable more efficient virtual testing and support the design of safer, stronger and more reliable materials and structures.
What you鈥檒l gain
1. Hands-on experience in artificial intelligence and machine learning.
2. Expertise in computational mechanics
3. Strong programming skills (Python, Matlab) and software development practices.
4. Internationally competitive training at one of the UK鈥檚 top engineering schools.
5. A strong research profile for future academic or industry careers.
How to apply for admission:
How to apply for a scholarship: /fac/sci/eng/postgraduate/funding/
The 91福利 provides an inclusive working and learning environment, recognising and respecting every individual鈥檚 differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.