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...

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 ,...

Ahmad Peyvan is recruiting two fully funded PhD students to join his research group in the Department of Mechanical Engineering at Vanderbilt University , with an anticipated start in Spring 2027 . The positions span two research tracks: Computational Fluid Dynamics with Scientific Machine Learning and Scientific Machine Learning for Fluid Dynamics . Topics include high-order numerical methods, DGSEM, compressible and high-speed flows, adaptive and high-performance computing, ML-assisted solvers...

Ph.D. opportunity in Aerospace Engineering at the University of Illinois Urbana-Champaign for a fully funded research program on computational engineering for extreme environments . The project focuses on developing next-generation computational methods for systems operating under extreme conditions, where conventional modeling approaches struggle. Research themes include hypersonics , materials and directed energy , high-fidelity computational modeling and simulation, scientific machine learnin...

PhD studentship at the University of Arizona on DNS of hypersonic boundary-layer transition . The project uses high-fidelity Direct Numerical Simulations (DNS) to study stability and laminar-turbulent transition in boundary layers at hypersonic speeds ( M = 4 to 14 ). Research topics include the physical mechanisms governing the linear and nonlinear stages of transition, breakdown to turbulence, and the investigation of promising flow-control methods using high-fidelity DNS. The position is well...