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