PhD Student in Computer Science - Explainable Causal Inference and Prediction for Geopolymer Data

This PhD position is part of the GEOLIANT project, which aims to develop low-carbon geopolymer binders from construction waste. The candidate will work on explainable causal inference methods to enhance the understanding of relationships between formulation parameters and material properties, contributing to the project's goal of creating sustainable alternatives to traditional cement. The research will involve interdisciplinary collaboration with experts in materials science and will utilize advanced AI techniques.