PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"
Join to apply for the PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows" role at Plansee Group.
Was uns stark macht? Unsere Mitarbeiterinnen und Mitarbeiter in 50 Ländern weltweit, die täglich mit Leidenschaft an innovativen Lösungen aus Wolfram und Molybdän für die Hightech-Welt arbeiten. Unser Standort in Reutte ist der Hauptsitz und größte Produktionsstandort der Plansee Gruppe. Hier sind die Geschäftsbereiche Plansee und CERATIZIT sowie zentrale Konzernfunktionen angesiedelt, die Innovationen entlang der gesamten Wertschöpfungskette der Pulvermetallurgie umsetzen. Werden Sie Teil eines hochmotivierten Teams, das lokale Stärken in Reutte, Österreich mit dem globalen Wissen und den Werten der Plansee Gruppe verbindet.
We invite applications for a fully funded PhD position in the field of data-assisted computational modelling of particulate multiscale and multiphysics flows in the frame of the newly founded Christian Doppler Laboratory for Data-Assisted Simulations of Complex Flows. The PhD project will be conducted at the Johannes Kepler University, Linz, Austria in close cooperation with Plansee SE, Reutte, Austria. The position comprises 6 - 8 weeks on-site visits per year at Reutte, Austria.
Start Date: January 2026 or as soon as possible thereafter.
Your Tasks
* Research in the field of computational modeling of particulate multiscale and multiphysics flows.
* Development of surrogate models (e.g., recurrence CFD) for real-time simulations.
* Contribution to digital process twins for industrial furnaces.
* Address fundamental questions in data-assisted modeling to reduce energy consumption and CO2 emissions.
* Collaborate within the Christian Doppler Laboratory for Data-Assisted Simulations of Complex Flows.
Your Profile
* 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.
What We Offer
* A dynamic and supportive research environment in a leading computational modeling group.
* Close cooperation with the industrial partner Plansee SE.
* Access to high-performance computing resources and collaborative networks.
* International collaborations, conference participation, and career development opportunities.
* Employment at the Johannes Kepler University of Linz with a gross salary of EUR 3,715 (14 times per year).
Application Instructions
Please send your application documents to andrea.scharinger@jku.at or apply directly here with:
* A short but honest cover letter detailing your research interests and motivation.
* A 2-page CV including relevant publications (if any).
Sonja Fuchs | Recruiting Team | Sonja.Fuchs@plansee-group.com
Plansee SE
#J-18808-Ljbffr