> Markdown version of [/jobs/ext/3909067-phd-position-in-modeling-monitoring-and-optimization-of-a-fluid-dynamical-system](https://www.wearedevelopers.com/jobs/ext/3909067-phd-position-in-modeling-monitoring-and-optimization-of-a-fluid-dynamical-system). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# PhD-Position in Modeling, Monitoring, and Optimization of a Fluid- Dynamical System

- **Company:** The Automation And Control Institute (acin)
- **Location:** Wien, Austria
- **Salary:** €52,865
- **Contract:** Temporary contract
- **Skills:** Dynamical Systems, Systems Theories, Information Technology, Data Analytics
- **Published:** October 26, 2026
- **Apply:** https://careerjet.at/jobad/atc5575e61bc75d0f872866139593d1f00

## About the Role

Research Field Engineering » Electrical engineering Education Level Master Degree or equivalent, * Master's degree in mathematics, automatic control, computer science, mechatronics, electrical engineering, mechanical engineering, mechanics, fluid dynamics, or physics

 * Excellent technical understanding and analytical capabilities
 * High commitment and motivation, willingness to contribute to academic teaching
 * Team spirit, strong communication skills, goal orientation, structured, and responsible way of working
 * Very good command of written and spoken English, basic skills in German favorable

Languages ENGLISH Level Excellent

## Description

The Automation and Control Institute (ACIN) belongs to the Faculty of Electrical Engineering and Information Technology of TU Wien. At ACIN, more than 50 researchers conduct basic research, solve challenging practical problems, cooperate with industrial research partners, develop innovations, and offer students excellent academic teaching in the fields systems theory, automation, and control engineering. More info at
The Automation and Control Institute (ACIN) at TU Wien is offering the following PhD-Position (m/f/d):
Modeling, Monitoring, and Optimization of a Fluid- Dynamical System
What you'll be doing
In the Complex Dynamical Systems Group (Prof. Andreas Kugi) and in close cooperation with an internationally active, industrial research partner you will develop new methods for data-driven and physics-informed modeling, analysis, parameter estimation, observer design, and optimization for the flow behavior of liquid metal in a continuous casting plant.
Research topics

 * Data-driven and physics-informed modeling and analysis of the gas-laden flow of liquid metal above and in the mold of a continuous casting plant
 * Identification of dynamical models and model parameters, model-order reduction
 * Design optimization of flow channels
 * Real-time adaptive and learning-based estimation (soft-sensing) of non-measurable system quantities
 * Model-based combined utilization of all available measurement signals (sensor-fusion)
 * Realization and validation in simulations, on laboratory models, and on an industrial continuous caster

Where to apply E-mail
steinboeck@acin.tuwien.ac.at