Postdoctoral Fellowships in Materials Informatics, Density Functional Theory, and Data-Driven Dynamical Systems at King Fahd University of Petroleum and Minerals King Fahd University of Petroleum and Minerals in Saudi Arabia

The IRC for Advanced Quantum Computing at King Fahd University of Petroleum and Minerals (KFUPM) is offering multiple postdoctoral fellowships in cutting-edge research areas. The group, led by Professor Fahhad Alharbi, is seeking highly motivated and qualified candidates with a recent PhD and a strong theoretical or computational background. Research topics include Materials Informatics, Orbital-Free Density Functional Theory, and Data-Driven Dynamical Systems, all of which are at the intersection of materials science, physics, and computer science.

Applicants should have expertise in one or more of the following areas: materials informatics, density functional theory (especially orbital-free approaches), and data-driven methods for dynamical systems. The research environment is collaborative and focused on advancing quantum computing and related computational methods. The group values curiosity, motivation, and the ability to connect one's research background to ongoing projects.

To apply, candidates should prepare a single PDF file containing a cover letter (explaining the fit between their background and the group's research), a current CV, and 3-5 selected research papers. Applications should be sent directly to Professor Fahhad Alharbi at [email protected]. The review of applications will begin immediately and continue until all positions are filled, so early applications are encouraged.

No explicit funding details are provided in the announcement, but postdoctoral fellowships at KFUPM typically include a competitive salary or stipend. For more information about the group or the university, interested applicants can refer to Professor Alharbi's LinkedIn profile.

Keywords: Materials Informatics, Density Functional Theory, Data-Driven Dynamical Systems, Quantum Computing, Theoretical Physics, Computational Science.