This full-time PhD position (36-month contract) is part of the Marie Skłodowska-Curie COFUND PhD@Tec21 programme. The project focuses on the mechanical behaviour of snow, which is critical for avalanche forecasting, snowpack evolution modelling, and infrastructure load prediction. Snow is a complex porous material with heterogeneous microstructure that evolves with environmental conditions. The research aims to unravel the links between microstructural evolution and macroscopic deformation, particularly the transition from ductile to brittle response under different strain rates. The PhD combines mechanical experiments on snow samples with in-situ X-ray microtomography and advanced image analysis (including AI-assisted approaches) to track deformation patterns. Image correlation techniques will be developed and applied to capture detailed kinematic fields, enabling better understanding of localised mechanisms relevant to broader porous media research.