REALISE
Bridging igneous petrology and machine learning for science and society
START DATE: 1 February 2026 – END DATE: 31 January 2030
REALISE is a MSCA Doctoral Network that explores the opportunities, challenges, and risks of Artificial Intelligence in Igneous Petrology. It trains the next generation of Earth scientists and entrepreneurs in innovative approaches to petrological data acquisition, modeling, and interpretation using machine learning. It aims at “Deriving New Skills in Volcanic Hazard Assessment and the Economy of Critical Raw Materials”. The project explores key scientific questions about the physical, thermodynamic, and chemical evolution of magmatic systems, the enrichment and segregation of critical elements from magma, and their emplacement at different levels in the Earth’s crust.
Doctoral Candidates
Fifteen Doctoral Candidates will receive systematic training and carry out research focused on four main objectives: applying machine learning to understand the lifecycle of magmas; integrating high-resolution analytical data to produce new petrological insights; combining physics and machine learning to develop advanced computational models; and exploring the use of generative AI, hypothesis formulation, and symbolic regression in petrology. The research will be applied to high-risk volcanic regions, as well as key sites for critical raw materials.
Beneficiaries
Latest News
- DC Candidates Selection Update
The first round of submissions for the selective procedure for Doctoral Candidate (DC) positions within the REALISE MSCA Doctoral Network closed with more than 500[…] - Not the Best Experts, but the Best Learners
We want to reassure all prospective applicants: you do not need to be an expert in every aspect of the project to apply. - Building the network!
🤝🌱 Building the network through shared experiences! 🌍 During the Kick-off Meeting days of REALISE MSCA – Doctoral Network, our team had the chance to[…]