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PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"

  • Vollzeit
  • ab 3.715 € monatlich
  • Berufseinstieg
  • Reutte
  • Über das Unternehmen
  • 501+ Mitarbeiter*innen
  • Reutte

PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"

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  • remote
  • Vollzeit
  • Reutte
  • JR-09947
  • Coaching, Training

100.000 Produkte und Werkzeuge aus den starken Metallen Wolfram und Molybdän: das ist seit über 100 Jahren unsere Mission und unsere Leidenschaft, die 11.000 Mitarbeiter:innen aller Welt teilen.

Wir von der Plansee Group haben noch viel vor - und werden mit Ihnen noch besser! Werden Sie Teil unseres Teams!

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.com | Plansee SE

Über den Job
Vollzeit
ab 3.715 € monatlich
Berufseinstieg
Reutte
Über das Unternehmen
501+ Mitarbeiter*innen
Reutte

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