A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians

A Doctoral Researcher at Aalto University will develop machine learning frameworks to predict electron-phonon interactions and phonon properties for functional materials. The role involves generating datasets from electronic structure theory calculations, applying AI models to quantify thermoelectric transport, and managing large-scale simulations on supercomputing facilities. This position supports research into thermoelectric energy harvesting and next-generation gas sensors within the Department of Chemistry and Materials Science.