Ph.D. Positions in AI-Assisted Computational Modelling: The University of Warwick’s School of Engineering invites applications for two exciting Ph.D. positions under the supervision of Dr. Emmanouil Kakouris. These projects will focus on advanced research in artificial intelligence (AI), computational modelling, and structural life-cycle assessment, offering students an opportunity to engage in cutting-edge research that blends engineering, AI, and applied mathematics.
Ph.D. Positions in Artificial Intelligence-Assisted Computational Modelling and Structural Life-Cycle Assessment at the University of Warwick
Designation:
Ph.D. Candidate in Engineering
Research Area:
- Position 1: Artificial intelligence-assisted computational modelling of fracture
- Position 2: AI-driven decision-support analytics for structural life-cycle assessment
Location:
School of Engineering, University of Warwick, CV4 7AL, Coventry, United Kingdom
Website
Eligibility/Qualification:
- Candidates should have a first-class or 2.1 honours degree in Engineering, Applied Mathematics, Physical Science, Computational Science, or a related field.
- Strong interest in computational materials modelling, physics-based simulations, artificial intelligence, machine learning, and decision-making techniques is essential.
Job Description:
Ph.D. Position 1: Artificial Intelligence-Assisted Computational Modelling of Fracture
- Focus on the application of AI to improve understanding of material failure and fracture processes.
- Integration of physics-based modelling with AI to simulate fractures under dynamic conditions.
- Development of predictive models validated with experimental data.
- Skills gained: Continuum mechanics theory, machine learning techniques, software development (Python, C/C++, Fortran).
Ph.D. Position 2: AI-Driven Decision-Support Analytics for Structural Life-Cycle Assessment
- Focus on using AI and machine learning techniques for optimising sustainability, resilience, and performance of civil infrastructure.
- Research will involve predicting structural performance, material degradation, and long-term sustainability under uncertainty.
- Skills gained: Decision-making theory, probabilistic methods, software development (Python, Matlab), life-cycle assessment methodologies.
Funding:
- Position 1: Funding for 4 years covering tuition fees (£4,786 per year) and a tax-free stipend of £19,237 per annum.
- Position 2: Funding for 3.5 years (subject to availability) with similar benefits.
- International candidates are welcome to apply for both positions.
How to Apply:
Interested candidates should submit a formal application through the University of Warwick’s postgraduate application system:
- Visit Application Portal.
- Select Department: School of Engineering and Type of Course: Postgraduate Research (MPhil/PhD).
- For Position 1, enter the funding source as EK-Computational Mechanics.
- For Position 2, enter the funding source as EK-Prescriptive analytics.
- Submit required documents, including CV, academic transcripts, and a personal statement.
For informal inquiries, contact Dr. Emmanouil Kakouris via email at Emmanouil.Kakouris@warwick.ac.uk.
Application Deadline:
- December 15, 2024.
Applications will be reviewed on a rolling basis, so early submission is encouraged.
This is a great opportunity for candidates with a strong academic background and an interest in AI-driven engineering solutions to make significant contributions to the fields of computational mechanics and civil infrastructure.
