PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"
PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"
PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"
PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"
Plansee Group
Metallindustrie und -verarbeitung
Reutte in Tirol
- Art der Anstellung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"
Über diesen Job
100,000 products and tools made of the strong metals tungsten and molybdenum: This has been our mission and passion for over 100 years, shared by 11,000 employees all over the world.
We at the Plansee Group still have big plans – and we will get even better with you! Become part of our team!
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.
For this industry-orientend position we are looking for a motivated and curious PhD candidate.
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
Addressing fundamental questions in data-assisted modeling to reduce energy consumption and CO₂ emissions
Collaboration 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)
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