PhD positions are available at the Computational Flow Physics and Data 
Assimilation Group at the Max Planck Institute for Solar System Research in 
Goettingen, Germany. 

The topics that we are specifically interested in are:

1. DNS for Magnetoconvection or rotating convection or convection-driven-dynamo 
(see Journal of Fluid Mechanics 984, A45 (2024) or Journal of Fluid Mechanics 976, 
A4 (2023) for a reference). 

2. Machine learning for CFD (specifically turbulence modeling with machine 
learning or data-driven method for PDE).

3. Multiphase flow (VOF or phase-field method).

4. Particles in turbulence or active turbulence (immersed boundary method).


You should have:
1. A master's degree in fluid dynamics, physics, or applied mathematics with a 
strong 
computational background. 

2. Experience in the development of CFD code and in running on big clusters.

3. Understanding the flow physics or the physics of turbulence.

4. Good command of English (min B2-Level).


Application of a PhD position should be done through our official website link:
https://www.application.mps.mpg.de/public/



For further information about the institute please visit our homepage 
https://www.mps.mpg.de.

For further information about the group please visit our homepage: 
https://sites.google.com/view/xiaojue-zhu