Polaritons are hybrid states that can form when molecules are placed inside optical cavities, providing exciting new possibilities for controlling photochemistry.

This multidisciplinary project will focus on integrating advanced machine learning (ML) for electronically excited states to enhance the efficiency and accuracy of molecular dynamics simulations of hundreds of thousands of molecules coupled to the confined light modes of a Fabry-Pérot microcavity. Ultimately, we aim to reach system sizes and timescales similar to those experimentally probed.

We are looking for a PhD candidate to work on this project, developing ML models that will be used by the group of our collaborator, Prof. Gerrit Groenhof of the University of Jyväskylä, to run molecular dynamics.

The contract is for three years. The project is funded by the MLChem project of the AMidex Foundation.