King Fahd University of Petroleum & Minerals (KFUPM) in Saudi Arabia is inviting applications for Postdoctoral Fellowships in the field of Computational Mathematics. The position is particularly suited for candidates with expertise in computational mathematics and a strong research interest in machine learning applications for multiphase flows and computational fluid dynamics (CFD). Research topics may include numerical linear algebra, advanced CFD modeling, and the integration of machine learning techniques in multiphase flow simulations.

The opportunity is announced by Professor Abdullah Shah, who is affiliated with KFUPM and has research interests spanning computational mathematics, CFD, and multiphase flows. The selection process will consider the QS ranking of the applicant's PhD university and their H-index as important parameters. Applicants are encouraged to connect with Professor Shah via LinkedIn to discuss potential collaborations and opportunities.

To apply, interested candidates should send a one-page CV and a short summary of their research via LinkedIn message. This position offers a collaborative research environment at a leading Saudi Arabian institution, with opportunities to work on cutting-edge topics at the intersection of mathematics, engineering, and machine learning.