15 Doctoral Candidate Positions in the MSCA Doctoral Network REALISE

REALISE will train 15 Doctoral Candidates at the interface of igneous petrology, volcanology, critical raw materials, and machine learning / AI. The network combines advanced petrological observations and multimodal analytical data with modern ML (including physics-informed and generative AI approaches) to improve:

Volcanic hazard assessment and risk mitigation, and
The understanding and exploration of critical raw materials in magmatic systems.
Doctoral projects address magma lifecycle processes, multimodal data fusion, physics–ML hybrid modelling (from CFD to atomistic simulations), and AI-assisted hypothesis formulation.