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 in chemistry and materials science. The Research Scientist will design and run experiments, advance AI-driven simulation models, and collaborate across disciplines to translate research into production-ready pipelines. Work spans high-performance computing environments with a focus on real-world engineering impact across industries like aerospace, energy, and semiconductors.