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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)

Sonja Fuchs | Recruiting Team | Sonja.Fuchs@plansee-group.comPlansee SE

Unternehmens-Details

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Plansee Group

Metallindustrie und -verarbeitung

1.001-5.000 Mitarbeitende

Breitenwang, Österreich

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