Beschreibung

#### About us

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

#### Job description

In order to support the Gust Loads & Aeroelastics department, Airbus Operations is looking for a

# Master student (d/f/m) in the field of Aerodynamics in the Gust Loads & Aeroelastics department

You are looking for a master thesis and want to get to know the work of a job title? Then apply now! We look forward to you supporting us in the Gust Loads & Aeroelastics department as a master student (d/f/m)!

- Location: Hamburg
- Start: 01.06.2025
- Duration: 6 months

## Your opportunity

- Are you passionate about aircraft physics?
- Are you keen to master the way we compute external loads acting on the vehicle due to maneuvers, flight in turbulence, landing impact, ground-handling?
- Do you like to work in an empowered manner?
- Do you enjoy connecting people and collaborating with many different interfaces?
- This job will give you the opportunity to work internationally with several internal flight physics departments and with teams located in Europe and India.

## About us

We are a team of 16 multicultural and passionate engineers who perform the gust calculations for overall aircraft design for all aircraft types. Our team is involved from a very early design stage until certification and also in-service support. We are responsible for running build model activities such as finite element modeling, creating mass and aerodynamics models. We perform gust loads calculation, including failure cases, and deliver to internal interfaces. On top, we are deeply involved in research and technology aspects with new aircraft configuration assessments, model based system engineering, automation and machine learning.

## Introduction

The current industry approaches of modeling unsteady aerodynamic flow for the prediction of gust loads typically assume linear flow conditions. Linearity greatly reduces the computational time required to evaluate all the flight points and gust conditions required by the certification specifications (CS-25). At the same time, disregarding non-linearities such as boundary layer separation arising from the high angles of attack induced by strong gusts can lead to an over-estimation of loads and thus to an increased structural weight of the aircraft.

## Your location

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.

## Your benefits

- Work-life balance with a 35-hour week (flexitime).
- International environment with the opportunity to network globally.
- Work with modern/diversified technologies.
- At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
- Opportunity to participate in the Generation Airbus Community to expand your own network.

## Your tasks and responsibilities

During this six months Master thesis you will develop and evaluate an unsteady aerodynamic model that includes the effect of flow separation in a piecewise linear approach. The model will be built using linearized computational fluid dynamics (CFD) of a complete flexible aircraft and adapted using aerodynamic data obtained in the non-linear flow region at high angles of attack. You will evaluate the model by comparison against higher-fidelity models, such as obtained from non-linear time domain simulation, with respect to gust loads.

You will contribute to:

- Optimize the design of Airbus commercial aircraft in the frame of new wing technologies
- the development of new approaches to model unsteady aerodynamics considering non-linearities for gust loads and flutter computation
- Actively support us as a new member of our team on our journey

## Desired skills and qualifications

- You are a fulltime enrolled master student (d/f/m) within Engineering, Mechanical Engineering or equivalent
- You have good knowledge in aerodynamics, CFD and potential flows
- Ideally you already have first experience in CFD using TAU or CODA
- You have knowledge in coding using Python and/or Matlab
- You bring basic knowledge in overall aircraft design and basic competencies in flight loads calculation and flight mechanics
- You are passionate to understand physical aspects and to use your engineering judgement
- If you are familiar with tools like MSC.NASTRAN or ALTAIR HyperWorks, this is beneficial
- You are a highly motivated, proactive and open-minded person with a great sense of initiative
- You are keen to deepen your technical knowledge while enjoying to work in a multicultural team
- Your English is at negotiating level

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply [online](https://www.airbus.com/en/careers) now!

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.