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PhD Position "Data-Assisted Real-Time Simulations"

PhD Position "Data-Assisted Real-Time Simulations"

PhD Position "Data-Assisted Real-Time Simulations"

PhD Position "Data-Assisted Real-Time Simulations"

Employer Plansee SE

Pharma, Medizintechnik

Reutte in Tirol

  • Art der Beschäftigung: Vollzeit
  • 44.500 € – 62.500 € (von XING geschätzt)
  • Vor Ort

PhD Position "Data-Assisted Real-Time Simulations"

Über diesen Job

CFD Jobs Database - Job Record #19899

Job Record #19899
PhD Position "Data-Assisted Real-Time Simulations"
Category PhD Studentship
Employer Plansee SE
Location Austria, Tirol, Reutte
Yes, international applications are welcome
Closure Date * None *
Description:
                  
PhD Position "Data-Assisted Real-Time Simulations of Particulate Flows"

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 at our career site with:

A short but honest cover letter detailing your research interests and motivation

A 2-page CV including relevant publications (if any)

                
Contact Information:
Please mention the CFD Jobs Database, record #19899 when responding to this ad.
Name Sonja Fuchs
sonja.fuchs@plansee-group.com

Gehalts-Prognose

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