Postdoctoral Research Associate in AI for Turbulence Computation and High Reynolds Number Flows The University of Edinburgh in United Kingdom

Postdoctoral Research Associate opportunity at the University of Edinburgh , School of Mathematics, for research on turbulence computation , graph neural networks , transformers , and dynamical systems . The project aims to develop large neural networks for embedding and predicting high Reynolds number turbulence, combining modern AI with a dynamical-systems view of turbulent flows. This is a UKRI-funded fixed-term postdoctoral role in the James Clerk Maxwell Building at Edinburgh’s King’s Build...

Postdoctoral Research Associate at The University of Edinburgh in Edinburgh, Scotland, United Kingdom . This full-time, fixed-term (36 months) postdoctoral opportunity focuses on viscoelastic fluid flows , including elastic turbulence (ET) and elasto-inertial turbulence (EIT) in polymer solutions. The project combines experiments , simulations , statistical analysis , and machine learning to improve quantitative agreement between experimental observations and theoretical models. The research pro...

Harbin Institute of Technology is advertising a postdoctoral position in computational fluid dynamics (CFD) in China , with research spanning theoretical and computational fluid dynamics , turbulence theory and modeling , hydrodynamic stability theory , AI for stability analysis and flow control , and other advanced CFD methods and applications . The position is suitable for candidates with a background in fluid mechanics , mathematics , physics , mechanical engineering , aerospace engineering ,...

PhD studentship at the University of Birmingham in robotic materials , mechanical metamaterials , active matter physics , and embodied artificial intelligence . The project focuses on self-learning active mechanical networks and will combine table-top robotic experiments with theoretical modelling . Research directions may be tailored to the successful candidate’s interests and expertise, with opportunities to work on decentralized learning, physical reservoir computing, contrastive learning, no...

PhD opportunity at the University of Leeds in AI for Structural Engineering , supervised by Professor David Connolly in the School of Civil Engineering . This project sits at the intersection of civil engineering , computer science , machine learning , computer vision , digital twins , physics-informed neural networks (PINNs) , and materials science . Research themes include generative design, structural optimization, predictive health monitoring, automated defect detection, real-time sensor int...