Postdoctoral Fellow in Double-Diffusive Convection, CFD, and Machine Learning at Mahindra University Mahindra University in India

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...

SRM University-AP is advertising a PhD candidate position in CFD for high-speed flow . The project focuses on computational fluid dynamics, with an emphasis on high-speed flow simulation. The supervisor notes a preference for candidates who are comfortable using open-source software such as OpenFOAM or SU2 , and also mentions access to ANSYS licenses. The group additionally has access to a supercomputer for RANS and LES computations. This is a funded PhD opportunity: the university sponsors the ...

Postdoctoral Research Associate opening at Worcester Polytechnic Institute in the Computational Multiphase Transport Laboratory (CMTL) for research in computational fluid dynamics , multiphase flow , droplet dynamics , and icing . The project focuses on high-fidelity computational modeling of droplet impact, droplet–droplet interactions, and droplet interactions with solid surfaces, with applications to aircraft icing and wind-turbine icing . Research topics include droplet deformation, coalesce...

Technische Universität Ilmenau is advertising a PhD candidate position in simulations of compressible turbulence within the Fluid Mechanics Group in the Department of Mechanical Engineering. The project is funded by the German Research Foundation (DFG) under Priority Program DFG-SPP 2410 CoScaRa and is carried out jointly with a research group at the Max Planck Institute for Mathematics in the Sciences, Leipzig . The research focuses on the dynamics and small-scale statistical properties of comp...

PhD opportunity at the University of Southampton in Scientific Machine Learning for Fluid Dynamics and Hydraulics . This project focuses on Physics-Informed Neural Networks (PINNs) and their use as efficient alternatives to traditional computational fluid dynamics methods. The research aims to develop and optimise scientific machine learning approaches for problems in fluid mechanics and hydraulics , including fast flood modelling, alternative Navier-Stokes solvers, and fluid-structure interacti...