PhD opportunities in Multiscale and Spatiotemporal Mechanics University of Nevada, Reno in United States

Professor Zhang is looking for Ph.D. students to join a research group in the Department of Mechanical Engineering at the University of North Dakota. The opening is focused on low-temperature plasma and hypersonic non-equilibrium flow , with research directions including: understanding complex gas dynamics and plasma physics phenomena; using GPU-accelerated high-performance computing ; and developing next-generation computational methods based on kinetic theory , including direct simulation Mont...

MIT is advertising a Postdoctoral Associate position in the Department of Chemical Engineering within the Varchanis Research Group . The project centers on theoretical and computational research on multiphase flows involving complex fluids interacting with gases, other fluids, or solids, with attention to how these systems respond to changes in material properties and environmental conditions. The role includes conducting original research in computational fluid dynamics and/or computational mec...

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 ,...

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...

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...