Postdoctoral Research Associate in Scientific Machine Learning, CFD, and AI for Fluids at Cornell University Cornell University in United States

Postdoctoral Research Associate opportunity at Cornell University in the Computational Mechanics & Scientific AI Lab (CoMSAIL), led by Prof. Jian-Xun Wang. The position sits at the intersection of scientific machine learning, computational fluid dynamics, AI for fluids, and computational physics.

The lab’s research spans next-generation computational methods for fluid mechanics and related areas, including generative modeling for scientific computing, differentiable solvers, differentiable physics, GPU computing, and high-performance scientific computing. The broader lab also works on multiscale problems in fluid dynamics, solid mechanics, heat transfer, turbulence, biomechanics, fluid-structure interaction, manufacturing, uncertainty quantification, Bayesian inference, and data assimilation.

Applicants should have a strong background in one or more of the listed areas, with desirable experience in JAX, PyTorch, numerical methods, and large-scale scientific computing. This is a postdoctoral opening rather than a PhD or master’s call.

To apply, send a CV and the contact information for three references to [email protected]. No deadline was stated in the post.