Scientists from Eötvös Loránd University, Sorbonne University, KU Leuven, the French National Centre for Scientific Research, the Institut de Physique du Globe de Paris and the University of Ljubljana are also involved.
They are working together to assess volcanic hazards and minimise risks, as well as to investigate the critical raw materials that magma provides. These raw materials are of utmost economic and social importance. As part of the project, machine learning methods for investigating magma are being developed, novel petrological data is being collected using state-of-the-art analytical methods, and computer-aided flow dynamics and atomistic simulations are being further developed. Applications of generative artificial intelligence (AI) in the petrology of magmatic rock are also being investigated. The doctoral students will engage in comprehensive training and research work with case studies in highly hazardous volcanic areas and important locations of deposits of critical raw materials.
More information:
An overview of the project can be found on the website www.realise-dn.eu , where details of the 15 doctoral positions are also available.