Internship (d/f/m) within Payload Data Processing for space-borne Instruments

工作内容

Job Description

In order to support Data Processing, Airbus Defence and Space is looking for a

Internship within Payload Data Processing for space-borne Instruments (d/f/m)

In strong collaboration with the instrument engineering teams, the department develops the on-ground processing of scientific instrument measurement data.

Topic

This internship deals with remote sensing data processing and software development (mixed scientific and engineering task) for Earth Observation missions. As an intern (d/f/m) you will learn about engineering in a cross-disciplinary and international team, Earth observation from space and space science methods, software development in a mixed science and industry context, professional software development (algorithm development and test, code hygiene, performance optimization, testing tool-chain, build chains).

Your location

At the Airbus site in Friedrichshafen you will be working on innovation where others spend their holidays. Enjoy panoramic views of Lake Constance while having lunch in our canteen. And after work, join one of our many corporate sports groups to go running, sailing or skiing.

Your tasks and responsibilities

• Understanding the Measurement Concept of the Earth Observation payload and its data processing concept
• Ability to identify the activities of the development life cycle that are necessary to develop a system/product and provide the level of confidence which is consistent with regulation and program requirements
• Define checkpoints and reviews with associated maturity expectation aligned with program phases and gates.
• Provide sufficient detailed data and information about system elements to enable the implementation consistent with architectural entities as defined in models and views of the system architecture and in accordance with the allocated requirements.
  
  

Desired Skills And Qualifications

• Enrolled full-time student (d/f/m) within aerospace or numerical engineering, natural sciences, physics, mathematics, software engineering or similar field of study
• Basic experience in Matlab or Python
• Experience in the domain of Numerical Analysis/Computational Physics is an asset
• Experience in version control systems (e.g. git) and collaborative workflow is an asset
• German or English: fluent
  
  

Please provide the following documents: cover letter, C.V., relevant certificates, current certificate of enrolment, excerpt from your study regulations/guidelines if it is a compulsory internship)

This position will require a security clearance or will require being eligible for clearance by the recognized authorities.

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!

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 Defence and Space GmbH

Contract Type

Internship / Stage / Praktikum / Beca

Experience Level

Student / Etudiant / Student / Estudiante

Job Family

Computing&Comm and Info& Data Processing

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.