PhD Research Assistant in Two-Phase Flow Simulation
Develop advanced numerical methods for simulating real-gas two-phase flows in turbomachinery at a leading German university.
Best for:Best for engineers with a strong background in thermodynamics, fluid mechanics, and turbomachinery who are eager to contribute to cutting-edge computational fluid dynamics research.
Overview
This PhD position at the University of Duisburg-Essen’s Chair of Turbomachinery focuses on advancing computational methods for two-phase flow simulations in turbomachinery applications. The successful candidate will work on developing, validating, and optimizing numerical tools for real-gas flows, contributing to research in compressors, pumps, turbines, and expanders. The role involves publishing findings, presenting at international conferences, and assisting with project acquisition and thesis supervision. The position offers a collaborative, research-intensive environment with substantial creative freedom and comprehensive doctoral support.
What you'll do
- Develop and apply numerical methods for simulating two-phase flows of real gases in turbomachinery systems
- Implement, validate, and continuously optimize simulation tools for 2D and 3D flow calculations
- Author and submit research articles to high-impact scientific journals and present findings at international conferences
- Assist in acquiring research projects and supervise Bachelor’s and Master’s theses
- Collaborate on experimental and numerical research in turbomachinery applications
Requirements
Degree required: Master’s degree in engineering with a focus on thermodynamics, fluid mechanics, and turbomachinery
Degree offered: PhD
Language: English; proficiency sufficient for academic research and publication
Instruction: English
- Proven expertise in computational fluid dynamics (CFD) and numerical methods
- Strong background in thermodynamics and fluid mechanics
- Experience with turbomachinery-related research or simulations
- Ability to work independently and present research at international conferences
- Familiarity with programming languages commonly used in CFD (e.g., Fortran, C++, Python)
- No specific nationality restrictions mentioned
- No residency or age limitations specified
- No prior experience caps mentioned
Funding & terms
How to apply
Deadline: 2026-10-18 (Europe/Berlin)
Submit your application via email to s.schuster@uni-due.de, referencing job number 419-26. Include your CV, cover letter, and any relevant academic documents. For questions about the position, contact Dr.-Ing. Sebastian Schuster directly via email or phone.
- CV
- Cover letter
- Master’s degree certificate and transcripts
- Proof of relevant skills or research experience (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.