Research Associate

vor 2 Monaten


Bochum, Deutschland Ruhr Universität Bochum Vollzeit

The Chair of Thermal Turbomachines and Aeroengines at the Faculty of Mechanical Engineering is looking for a

**research associate (m,f,x) - numerical work for the EU Project INDIGO for the period until 31.01.2026 (end of project) with 39,83 hours per week (TV-L E 13)**:
The Chair of Thermal Turbomachines and Aeroengines in the Faculty of Mechanical Engineering at the Ruhr University Bochum (LSTTF) is among the leading research groups in Germany in the field of experimental and numerical investigation of propulsion and energy transformation systems. Cutting-edge numerical and experimental research is carried out, covering a broad spectrum of topics from classic turbomachinery aerothermodynamics, aeroelastics, two-phase flows and non-ideal compressible fluid dynamics with a strong focus on the design and optimisation of modern fluid energy machines to be employed in innovative cycles for power generation, energy storage and process engineering and using essentially non-conventional working fluids (such as steam, supercritical as well as transcritical CO2 flow, hydrogen, ammonia, organic fluids and mixtures).

**extent**:

- full-time**duration**:

- temporary**beginning**:

- as soon as possible- 11.09.2023**Your tasks**:

- working together with industry and research partners on the scopes of the project
- performing CFD simulations with the open-source code OpenFOAM as well as in-house tools
- developing a low-dimensional, high-fidelity aero-thermo-acoustic model of a new hybrid-electric engine suitable for deployment with ultra-high-aspect ratio aircrafts
- adopting and developing both high-fidelity computational approaches and model reduction methods to integrate multiphysics-models in a common computation tool
- particularly, developing an efficient and accurate reduced model of the combustion system based on high-fidelity calculations
- using methods of machine learning, particularly physics-informed neural networks (PINN), to identify defining parameters for the model reduction

**Your profile**:

- MSc/Diploma in the field of Engineering or equivalent (emphasis on numerical/theoretical work)
- mastering of or willingness to learn the german and English languages is desirable
- excellent communication skills and the ability of working in an international, highly dynamic and motivated team are an invaluable asset

**Our offerings**:

- challenging and varied tasks with a high level of personal responsibility
- team-oriented cooperation in a committed, international and appreciative team
- a friendly and collegial environment
- employment at one of the largest universities in Germany in the University Alliance Ruhr network
- a discounted job ticket

**Additional information**:
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.

If the position is funded by third-party funds the employee has no teaching obligation.

Prof. Dr. Francesca di Mare, Phone: +49234 32 24505
Stefanie Reichstein, Phone: +49234 32 24505

Travel expenses for interviews cannot be refunded.



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