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Working Student (d/f/m) for Development of AI models for Spacecraft FDIR

Airbus Defence and Spacevor 16 StundenWerkstudent
HybridEnglisch erforderlichDeutsch von Vorteil (nicht erforderlich)TechKI, ML & Data Science

Erforderliche Skills

TensorFlowFPGAC/C++PyTorchPythonsignal processing

Stellenbeschreibung

Airbus Defence and Space hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Munich bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen. Du kannst außerdem ChatGPT oder Claude mit einem fertigen Prompt öffnen, um deinen Lebenslauf anzupassen, deine Eignung zu prüfen, ein Anschreiben zu verfassen oder dich auf das Interview vorzubereiten.

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Beschreibung bereitgestellt von Airbus Defence and Space

Job Description:

In order to support the Digital Payload Processors Design Team, Airbus Defence and Space is looking for a

Working Student (d/f/m) for Development of AI models for Spacecraft FDIR

You are a full time student, looking for a working student position and want to get to know the work of a AI Engineer for space systems? Then apply now! We look forward to you supporting us in Digital Payload Processors as a working student (d/f/m) with approx. 18 hours a week!

  • Location: Taufkirchen/Ottobrunn, near Munich
  • Start: 01.10.2026
  • Duration: min. 6 months, or longer

Definition working student

Working students are students who are enrolled at a University or some other institution of higher education, and who are employed in a reasonably long, fixed-term position parallel to their studies. This position must not be confused with an internship or with the possibility of writing a final thesis.

This employment usually takes place directly on the company's premises. A working student's main focus remains on their studies, which is why, during term-time, working students are not allowed to work more than 20 hours per week.

Working students therefore usually work near their place of study, so as to conveniently combine studying and employment.

Your location

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Your Benefits

  • Attractive salary and work-life balance with an 18-hour week (flexitime).
  • A final thesis is possible after consultation with the department.
  • Mobile working after agreement with 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.

Your Tasks And Responsibilities

You will support the Digital Payload Processors Team to develop new, enhanced AI models for autonomous Fault Detection, Isolation and Recovery (FDIR) tasks.

  • Exploration of AI architectures for best results in accordance with the input data.
  • Performing trade off analysis of AI models based on key performance indices.
  • Developing strategies to integrate AI models with other spacecraft subsystems.
  • Exploration of methodologies and techniques on the path of efficient AI implementation chain.
  • Implementation of tests to validate the AI models to ensure reliability and performance.
  • Documentation of processes and results.
  • Assist in troubleshooting and resolving technical issues related to development.

Desired Skills And Qualifications

  • Enrolled full-time student (d/f/m), in a relevant degree program (e.g., Electrical Engineering, Computer Engineering, Communications Engineering, Aerospace Engineering).
  • Strong knowledge of Artificial Intelligence and Neural Networks modeling frameworks (e.g., TensorFlow, PyTorch), preferably with experience in data engineering.
  • Good signal processing background.
  • Proficiency in programming languages (e.g., Python, C/C++).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and documentation skills.
  • Fluent English is mandatory (written and spoken); German would be an asset.
  • Experience of neural network inference on embedded processing platforms (CPU, FPGA) is a plus.
  • Knowledge of spacecraft systems is a plus.
  • You are a good team player, have excellent communication skills, and are able to work independently.

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!

#MYCYM

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

Employment Type:

GE - Werkstudent

Experience Level:

Student

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 [email protected] .

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.

#YESPOST

Wichtiges für Werkstudierende

Was diese Werkstudentenstelle im Bereich Tech in Munich für dich bedeutet: die Wochenstundenregeln, die Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.

Wochenstunden

Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.

Werkstudenten-Regeln

Sozialabgaben

Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.

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Internationale Studierende

Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.

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