Computational Chemist, Materials Discovery

Essential Duties:
Lead cutting-edge R&D initiatives within a highly interdisciplinary environment that requires collaboration with chemists, physicists, and engineers. The research encompasses programs spanning optical materials, optics and advanced spectroscopy, and atomistic simulation of materials, with a strong emphasis on computational modeling and materials theory.

Required Skills:
Expert-level ability in materials modeling, particularly in understanding at least one of light-matter interaction across a broad range of materials and photonic devices, magnetic property prediction, or polymer modeling.
Excellent theoretical foundation in atomistic modeling and strong knowledge of current and emerging ML/AI techniques relevant to materials development. The ability to lead the development of computational platforms for materials discovery is critical for success.
Working knowledge of experimental techniques such as thin-film fabrication, wet chemistry, and solid-state sample preparation is a plus, but not the primary focus.
Generate ideas for new research programs, market ideas, and write proposals for funding. Lead program teams for awarded projects.
Familiarity with ultrafast laser experiments and various spectroscopy techniques is beneficial, primarily to support or interpret modeling results.
Strong experience in atomistic material simulation within frameworks such as density functional theory (DFT) or molecular dynamics. Experience with HPC environments and job scheduling is a significant advantage.
Knowledge of machine learning/artificial intelligence methods as applied to materials science is a plus.