Research Scientist - Material Modelling
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems, using state-of-the-art frameworks and large-scale datasets. The Research Scientist will design experiments, iterate on model architectures, and translate research into production-ready simulation pipelines. Work spans high-performance computing environments with a focus on real-world impact in materials science and engineering applications.