Ph.D. Position - Reinforcement Learning for Active Flow Control

Universität Stuttgart; Stuttgart; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

Die Numerics Research Group an der Universität Stuttgart sucht einen Doktoranden für ein spannendes Projekt zur Erforschung von Reinforcement-Learning-Strategien. Diese Rolle umfasst die Simulation turbulenter Strömungen und die Entwicklung von kontrollierenden Strategien. Die Position ist auf drei Jahre befristet und erfordert einen Master-Abschluss in einem ingenieurtechnischen Fachgebiet.

Qualifikationen

• Hintergrund in numerischen Methoden für PDEs.
• Erfahrung in maschinellem Lernen oder turbulente Strömungen.

Aufgaben

• Simulation von komplexen turbulenten Strömungen.
• Implementierung von Reinforcement-Learning-Strategien für die Strömungskontrolle.
• Entwicklung von Steuerungs- und Modellstrategien.

Kenntnisse

Fluent in German or English

Ausbildung

Master’s degree or equivalent in engineering

Jobbeschreibung

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Ph.D. Position - Reinforcement Learning for Active Flow Control, Stuttgart

Client:

Location:

Stuttgart, Germany

Job Category:

Other

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EU work permit required:

Yes

Job Reference:

55ba5e77ab33

Job Views:

2

Posted:

26.06.2025

Expiry Date:

10.08.2025

Job Description:

The Numerics Research Group at the IAG is seeking a research associate at the doctoral level for an exciting project exploring reinforcement learning strategies for active flow control and modeling in complex turbulent flows.

The tasks include:

1. Simulation of complex turbulent flows
2. Implementation of reinforcement learning strategies for flow control
3. Development of discretization-consistent control and model strategies

The IAG encourages publication of results in scientific journals and supports participation in international conferences. The position is full-time, with payment according to TV-L E13. Employment is initially limited to three years, with possible extension.

The IAG is committed to increasing the number of female scientists. Severely disabled persons are given priority if equally qualified. Please send your full application (cover letter, CV, transcripts) or questions exclusively to:

University of Stuttgart

Institute of Aerodynamics and Gas Dynamics

Stuttgart

Requirements:

• Master’s degree or equivalent in engineering or related fields, preferably with a background in numerical methods for PDEs, machine learning, or turbulent flows
• Fluency in either German or English (written & oral)