Fully Funded PhD in AI for Computational Science and Biomedical Systems at Iowa State University Iowa State University in United States

1–2 fully funded PhD positions are available at Iowa State University in the PHASE Lab (Physics & Health via AI and Shape Emulation), starting Fall 2027. The lab will be led by Prof. Pan Du in the Department of Mechanical Engineering and focuses on scientific machine learning , computational physics , biomedical AI , AI-driven digital twins, hybrid neural modeling, inverse problems, optimization, and uncertainty quantification (UQ). Students interested in AI for computational science, geometry m...

University of Southern California is seeking a postdoctoral researcher to work with Professor Assad Oberai on research at the intersection of scientific machine learning , probabilistic inverse problems , and generative models such as flow-matching . The position is aimed at candidates interested in applying modern machine learning methods to problems in science and engineering . This is a strong fit for researchers with backgrounds in computer science , mathematics , physics , or related engine...

Postdoctoral opening in vortex-dominated flows at Oklahoma State University with Assistant Professor Chitrarth Prasad . The project spans computational fluid dynamics , experimental fluid dynamics , and data-driven discovery for unsteady aerodynamic and vortex-dominated flows. The postdoc will develop and apply machine learning , reduced-order modeling , and other data-discovery methods to challenging flow problems. This is a strong fit for candidates with backgrounds in mechanical engineering ,...

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 , differentiab...

Oklahoma State University is advertising a postdoctoral researcher position in machine learning for fluid dynamics through its Flow Physics Simulation Laboratory . The project focuses on applying ML and data-driven discovery methods to vortex-dominated flows , unsteady aerodynamics , computational fluid dynamics (CFD) , and experimental fluid dynamics . The role is a strong fit for researchers interested in combining machine learning , reduced-order modeling , and fluid mechanics. Responsibiliti...