Master student in the field of General Engineering (d/f/m)

Job Description:

In order to support Dynamics & Loads department, Airbus Helicopters is looking for a

Master student in the field of General Engineering (d/f/m)

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 department Dynamics & Loads as a Masterand (d/f/m)!

• Location: Donauwörth

• Start:  August 2025 (with flexibility)

• Duration: 6 months

Your location

At our Donauwörth site, located on the banks of the river Danube, we develop helicopters from the initial idea to the airworthy product. Watch them take off and touch down on our own on-site test airfield.

Your benefits

• Attractive salary and work-life balance with an 35-hour week (flexitime).

• Mobile working after agreement with the department.

• Traveling within Europe (team events) is possible after consultation and agreement from the department.

• 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.

Background

The reliable measurement of the rotor mast bending moment is crucial for monitoring loads for lifetime calculations and allowing condition-based maintenance activities. While the existing mast moment system utilizes electrical strain gauges that are glued within the rotor mast to directly determine its bending moment, recent activities have focused on an indirect measurement device that uses fibre optic strain sensors on the rotor blade to infer the corresponding mast bending moment from local strain measurements.

Objectives of the thesis

The aim of this thesis is to develop a relationship between strain measurements collected on the rotor blade and the mast bending moment. The dependencies on key flight parameters shall be identified analytically (e.g. rotor speed, collective angle) and methods based on machine learning, neural networks or similar shall be applied to accurately predict the mast bending moment. Finally, the proposed methods shall be validated with existing flight test data and whirl tower test data.

Your tasks and responsibilities

• Familiarization with systems, such as main rotor system, main rotor drive, main rotor mast and instrumentation system.

• Literature review on suitable machine learning techniques for accurate parameter estimation.

• Elaboration of analytical relationship between flap moment and mast bending moment to identify influencing flight parameters.

• Development of a predictive model to determine the mast bending moment magnitude and azimuth angle based on rotor blade-based strain measurements.

• Model validation with electrical strain gauge measurements from whirl tower tests and conclusions.

Desired skills and qualifications

• Enrolled full-time student (d/f/m) in the area of Structural mechanics / Loads or an equivalent field of study

• Basic knowledge in statistics and Matlab scripting

• Optional: Knowledge in metrology and Python scripting

• You can work independently within data analysation and researching

• Language Skills: Fluent in German and English

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 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.

Company:

AIRBUS HELICOPTERS DEUTSCHLAND GmbH

Employment Type:

Final-year Thesis

-------

Experience Level:

Student

Job Family:

Structure & Dynamic Systems Analysis

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
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.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

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.