Research Scientist - Material Modelling
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems for real-world materials science challenges. The Research Scientist will work on high-fidelity, multi-physics simulations using state-of-the-art ML frameworks, run large-scale experiments on chemistry and materials datasets, and collaborate across disciplines to translate research into production-ready pipelines. The position operates in a high-performance computing environment and emphasizes publication, mentorship, and cross-functional communication.