Fully Funded PhD in Physics-Informed Machine Learning for Fluid Mechanics at DTU DTU - Technical University of Denmark in Denmark

DTU Engineering Technology is offering a fully funded PhD position with Ioanna Aslanidou, Associate Professor of Mechanical Engineering at the Technical University of Denmark (DTU).

The project focuses on physics-informed machine learning, machine learning, physics-based models, fluid mechanics, and simulations. This is a strong fit for candidates interested in combining data-driven methods with classical engineering and physical modeling.

Research area: Mechanical Engineering, Computer Science, Physics, Mathematics.

Funding: The position is described as fully funded.

Eligibility: The post does not list detailed entry requirements, but it clearly seeks applicants motivated by the interface of machine learning and fluid mechanics.

Application deadline: Apply before July 15th.

If you are interested in research at the intersection of computational modeling and fluid mechanics, this PhD opportunity at DTU may be a good match.