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- Aufgaben: Join us to develop cutting-edge data-driven turbulence models for complex aerodynamic simulations.
- Arbeitgeber: Be part of a leading research institute specializing in aerodynamics and flow technology.
- Mitarbeitervorteile: Enjoy competitive pay based on qualifications and opportunities for professional growth.
- Warum dieser Job: Contribute to innovative aviation technologies that promise significant fuel savings and efficiency improvements.
- Gewünschte Qualifikationen: Master's degree in aerospace/mechanical engineering or equivalent, plus programming skills in C/C++ and Python.
- Andere Informationen: Work on real-world challenges in turbulent flow prediction and optimization for aircraft designs.
Das voraussichtliche Gehalt liegt zwischen 48000 - 72000 € pro Jahr.
university degree (Master/Diploma) in engineering (aerospace engineering, mechanical engineering, or equivalent) or science such as (numerical) mathematics, (computational) physics, or equivalent good knowledge in programming languages (C/C++, and Python) knowledge in numerical flow simulation using computational fluid dynamics (CFD) and the simulation of turbulent flows knowledge in fluid mechanics and/or aerodynamics and in turbulent flows knowledge in use, development, validation and coupling of CFD codes practical knowledge in software tools used for CFD (CFD grid generation, visualization)
Payment
Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 13 TVöD.
Physicist, Mathematician, Aerospace or Mechanical engineer or equivalent (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Kontaktperson:
Deutsches Zentrum für Luft- und Raumfahrt (DLR) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Physicist, Mathematician, Aerospace or Mechanical engineer or equivalent (f/m/x)
✨Tip Number 1
Make sure to showcase your experience with numerical methods and computational fluid dynamics (CFD) in your discussions. Highlight any specific projects where you've successfully applied these skills, as this will resonate well with our focus on advanced simulation techniques.
✨Tip Number 2
Familiarize yourself with the latest developments in machine learning as it relates to turbulence modeling. Being able to discuss how ML can enhance predictive accuracy in aerodynamic simulations will demonstrate your forward-thinking approach and alignment with our research goals.
✨Tip Number 3
Prepare to discuss your programming skills, particularly in C/C++ and Python. We value candidates who can not only use these languages but also understand their application in developing and validating CFD codes.
✨Tip Number 4
Engage with current literature on turbulent flows and aerodynamics. Being knowledgeable about recent studies and breakthroughs will help you stand out and show your genuine interest in the field, which is crucial for a role focused on innovative research.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Physicist, Mathematician, Aerospace or Mechanical engineer or equivalent (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the specific requirements for the position. Highlight your relevant experience in aerodynamics, numerical methods, and turbulence modeling.
Tailor Your CV: Customize your CV to emphasize your educational background in aerospace or mechanical engineering, as well as your programming skills in C/C++ and Python. Include any relevant projects or research that align with the job's focus on data-driven turbulence models.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your skills and experiences to the challenges mentioned in the job description. Discuss your familiarity with CFD, turbulent flows, and how you can contribute to the development of intelligent aerodynamic simulation techniques.
Highlight Relevant Projects: If you have worked on projects related to fluid mechanics, aerodynamics, or machine learning applications in turbulence modeling, be sure to detail these experiences. Use specific examples to demonstrate your problem-solving abilities and technical expertise.
Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt (DLR) vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your knowledge in programming languages like C/C++ and Python, as well as your experience with computational fluid dynamics (CFD). Highlight specific projects where you've applied these skills, especially in turbulent flow simulations.
✨Understand the Research Focus
Familiarize yourself with the latest advancements in aerodynamics and machine learning applications in turbulence modeling. Being able to discuss recent research or technologies that relate to the institute's work will demonstrate your genuine interest and understanding of the field.
✨Prepare for Problem-Solving Questions
Expect to tackle technical problems during the interview. Practice explaining your thought process clearly and logically when solving complex flow phenomena or discussing the development of data-driven models. This will showcase your analytical skills and ability to think critically.
✨Demonstrate Team Collaboration
Since the role involves multidisciplinary collaboration, be ready to share examples of how you've successfully worked in teams. Discuss your experience in integrating different disciplines and how you approach communication and problem-solving within a group setting.
