PhD Student in Computer Science - Augmentation and Generation of Geopolymer Data

The PhD position is part of the GEOLIANT project, which aims to develop low-carbon geopolymer binders from construction waste. The candidate will work on data augmentation and generation methods to improve the dataset of geopolymer formulations. This involves using machine learning techniques to predict properties and generate synthetic data, ensuring collaboration with materials science experts. The role is situated in a multidisciplinary environment, combining computer science and materials engineering, and requires authorization from the French Ministry of Higher Education and Research.