Cover Letter

Master’s degree in Physics, Applied Mathematics, Mechanical Engineering, Computational Science, or a related field
Solid background in classical simulation techniques (e.g., CFD, CFD-DEM)
Strong programming skills in at least one scientific computing language
Interest in or willingness to learn deep learning or other data-driven modeling methods
Beneficial: Experience with machine learning frameworks and physics-based simulations
Experimental skills for validation experiments
Willingness to conduct on-site visits and talk to responsible people from development and production
German language skills desirable

Fully funded PhD position in data-assisted computational modelling of particulate multiscale and multiphysics flows at the Christian Doppler Laboratory for Data-Assisted Simulations of Complex Flows at the Johannes Kepler University, Linz, Austria./nThe PhD project will be conducted at the Johannes Kepler University, Linz, Austria in close cooperation with Plansee SE, Reutte, Austria./nThe position comprises 6 - 8 weeks on-site visits per year at Reutte, Austria./nStart Date: January 2026 or as soon as possible thereafter.

PhD in Applied Mathematics

Overview

Application Requirements