Automated Post-Processing for High-Order CFD

Background

Scale-resolving simulations with our in-house high-order discontinuous Galerkin spectral element method (DGSEM) solver run on modern HPC systems and produce datasets in the range of terabytes. Extracting physical insight from these datasets, such as time-averaged statistics, spectra or surface loads, is often a manual and time-consuming process. In addition, the high-order solution representation requires dedicated handling in most standard post-processing tools. Efficient, automated and reproducible workflows are therefore essential to make full use of the simulation results.

Project Description

In this position, you will develop automated scripts for post-processing the simulation data of the DGSEM solver, as well as techniques to reduce the size of the data while retaining the relevant physical information. The tools should integrate into the existing simulation workflow and be usable by the whole group. Your tasks include:

• Development of automated post-processing scripts (e.g. statistics, spectra, surface data)
• Implementation of data reduction techniques (e.g. modal decomposition, compression)
• Integration of the tools into the existing simulation workflow
• Testing and documentation of the developed tools

Your Profile

• Good programming skills in Python
• Basic knowledge of fluid mechanics and CFD
• Experience with Linux, ideally also with HPC systems

Application

If you are interested, even if you don't fulfill all the listed requirements, please send your application (incl. CV and latest transcript) via e-mail.

Start: as soon as possible