PhD Position in Machine Learning-accelerated design of composite materials for hydrogen economy

PhD Position in Machine Learning-accelerated design of composite materials for hydrogen economy

Apr 9, 2024 Posted by:   webmaster No Comments

University of Warwick

Unlock a unique opportunity with a fully-funded PhD Project

Join us in a groundbreaking research endeavour aimed at revolutionising design of composite materials for cryogenic hydrogen applications in aerospace. We are seeking an enthusiastic student to lead a challenging PhD project focused on developing a multiscale methodology driven by Artificial Intelligence (AI) and mechanistic modelling across the scales to provide state-of-the-art design tools to optimise composite materials for problems associated with cryogenic hydrogen storage. This project is funded by the EPSRC HetSys II CDT at the University of Warwick, in partnership with the National Composites Centre (NCN).

The Challenge

Hydrogen fuel is envisaged as a key pillar in a future green economy with the potential to decarbonise aerospace industry. Efficient design of advanced composite materials that can sustain harsh cryogenic hydrogen applications is critical to achieving decarbonisation goals and paving the way for a more sustainable future. Multi-scale modelling methodologies that integrate modelling concepts from physics and engineering and are accelerated with AI/Machine Learning (ML), are crucial for paving the way for a more sustainable design of composite materials. This project will develop a radically-new predictive platform by leveraging cutting-edge techniques of mechanistic and AI-driven frameworks to pioneer new design ways for composites towards a greener future.

Why Warwick?

The University of Warwick has been awarded £11 million to train PhD students in computational modelling within the Centre for Doctoral Training in Modelling of Heterogeneous Systems, known as HetSys II. The new centre which spans seven departments and three university research centres will train 50 PhD students to use computational modelling to tackle pressing global sustainability challenges.

Who Should Apply?

We’re looking for candidates with a minimum of an upper second-class honours’ degree (or equivalent) in Engineering, Maths, and Physics – candidates with Chemistry background interested in multiscale materials modelling will also be considered. This exclusive opportunity is only open to UK residents. For more information and to apply, visit or contact Dr Lukasz Figiel (


• Fully funded PhD studentship at a leading academic institution.

• Advanced training in computational modelling within a multidisciplinary cohort

• Gain hands-on experience in cutting-edge AI-based multiscale modelling

• Contribute to groundbreaking collaborative research with real-world impact on sustainability and industry.