Research Scientist - Material Modelling
This role involves developing and applying machine learning interatomic potentials (MLIPs) to model atomistic systems in materials science, using state-of-the-art frameworks and benchmark datasets. The Research Scientist will design and run experiments on large-scale chemistry and materials data, iterate on model architectures, and translate research into production-ready pipelines. Work is conducted on high-performance computing infrastructure, with collaboration across computational chemists, ML engineers, and customers, and includes publishing research and mentoring team members.