Working student - Operability Performance Modeling (d/f/m)

Job Description:

In order to support Airbus Defence and Space we are looking for a

Working student - Operability Performance Modeling  (d/f/m)

The Aircraft Operations engineering team ensures that all future aircrafts and technologies are “Customer Positive” (i.e. airline, leasing company, MRO). This involves assessing the operability of in-service and new aircraft systems, cabins and structures on established criteria. Working with the Aircraft Operations team will give a unique learning opportunity to understand aircraft development and the practicalities of aircraft in service. As part of the activities, the cooperation with other engineering domains and Airbus customer services is key.

Your location
Bremen is a charming city full of history in the northwest of Germany. In addition to being one of the country’s greenest cities, it offers wonderful sights, a rich culture, urban flair and culinary delights. It’s also a great place for seaside lovers, being located just an hour’s drive from the North Sea coast.

Your benefits

• Attractive salary and special payments

• 30 dayspaid vacation and extra days-off for special occasions

• Excellent upskilling opportunities and great international, group wide development prospects

• Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, transportation subsidy, employee benefits at cooperating companies

• On-site-facilities: Kindergarten close to the site, medical officer for check-ups and other health-related services, canteen and cafeteria

• Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)

• Working in a diverse environment, with more than 140 nationalities, where every voice is heard

Your tasks and responsibilities

• In-Service Data analysis  considering variability of operations of different airlines networks

• Analysis and consolidation of technical drivers and operational criteria

• Operational, economic and technical parametrization of in service data 

• Surguate model enabling the simulation of variations in operations and design parameters 

• Use case application for a future project

• Status and progress reporting 

Desired skills and qualifications

• Bachelor’s or Master’s degree in Aerospace Engineering, Data Science, Engineering, Economics, or a related field

• Strong analytical skills with a focus on data analysis and interpretation

• Basic knowledge or first experience in Python (preferably applied in data-related projects)

• Understanding of economic principles

• High level of adaptability and ability to work autonomously

• Strong interpersonal skills with a talent for networking and connecting people

• Fluent in English, both written and spoken

Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.

Take your career to a new level and apply online now!

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.

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 Operations GmbH

Employment Type:

GE - Werkstudent

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Experience Level:

Student

Job Family:

Qualification & Operability

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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.

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.