Are you interested in discovering and understanding chemical reactivity on surfaces, with direct industrial and societal relevance? Do you enjoy research, and does the prospect of using simulations and theory to inform and guide experiments motivate you? We are now seeking a doctoral researcher possessing a curious and self-driven mindset to develop and apply new simulation protocols to push towards realistic and dynamic modeling of AS-ALD processes. Recently, we have made significant progress in this direction by merging machine learning interatomic potentials (MLIPs) trained on density functional theory (DFT) data, and enhanced sampling techniques to reach the necessary time and size scales, enabling realistic thin-film growth simulations with near-quantum accuracy at a fraction of the computational cost. The tools developed in this position have the potential to have a ta...