The Department of Geology and Geophysics at Texas A&M University invites applicants for a Postdoctoral Research Associate in AI-driven geodynamics. This role offers an exciting opportunity to work at the intersection of geoscience and advanced machine learning. The associate will collaborate primarily with Professor Qian Yuan, focusing on integrating state-of-the-art machine learning techniques, both data-driven and physics-informed, with mantle convection modeling to investigate planetary evolution and habitability. This is a one-year position with the possibility of extension up to three years. Ideal candidates will have a background in geodynamics, Earth and planetary sciences, applied or computational mathematics, physics, or engineering. Prior experience with neural operators or Physics-Informed Neural Networks (PINNs) in computational fluid dynamics is an advantage. The postdoctoral research associate will join a growing, multidisciplinary research team and will have opportunities to mentor both graduate and undergraduate students. They will also benefit from Texas A&M’s expanding AI ecosystem, including the Research in Artificial Intelligence for Science and Engineering (RAISE) Initiative. Additionally, Texas A&M has recently acquired the NVIDIA DGX SuperPOD with DGX H200 systems, making it one of the most powerful AI supercomputers at any North American university.