PhD in ML for Electron–Phonon Physics in 2D Materials

Aalto University in Espoo invites applications for a Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier‑Based Hamiltonians. The role links ML, atomistic simulations, and advanced electronic-structure methods.

The ELPH‑ML project collaborates with the DAS group to build data‑driven ML workflows, using Quantum ESPRESSO, Wannier90 and EPW, with supercomputing resources and experimental partners. The position is fixed‑term and based at Otaniemi Campus.