#### About us

Airbus ist Pionier einer nachhaltigen Luft- und Raumfahrt für eine sichere und vereinte Welt. Das Unternehmen arbeitet ständig an Innovationen für effiziente und technologisch fortschrittliche Lösungen in den Bereichen Luft- und Raumfahrt, Verteidigung sowie vernetzte Dienstleistungen. Airbus bietet moderne und treibstoffeffiziente Verkehrsflugzeuge sowie dazugehörige Dienstleistungen an. Airbus ist auch führend in Europa im Bereich Verteidigung und Sicherheit und eines der größten Raumfahrtunternehmen der Welt. Im Bereich Hubschrauber stellt Airbus die weltweit effizientesten Lösungen und Dienstleistungen für zivile und militärische Hubschrauber bereit.

#### Job description

In order to support Mission Systems, Airbus Defence and Space is looking for an

# Intern in Federated Learning for collaborative Air Combat (d/f/m)

A vacancy for an intern (d/f/m) in Federated Learning for collaborative air combat (d/m/f) has arisen within Airbus Defence and Space in Manching. The successful applicant will join the Mission Systems department.

Federated learning is a promising approach to train collaboratively machine learning models. This technique has a lot of potential applications, especially for collaborative air combat involving several flying platforms (aircraft and UAV).

We are looking for a creative intern who is willing to work on supervised and unsupervised learning methods for sensor data understanding in distributed and resource-constrained environments.The successful applicant will contribute to the development and evaluation of novel ML techniques applied to sensor data in the context of real-world systems.

- Location: _Manching_
- Start: _as soon as possible_
- Duration: _3-6 months_

## Your location

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

## Your benefits

- A final thesis is possible after consultation with the department.
- International environment with the opportunity to network globally.
- Work with 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

- Research and implement state-of-the-art clustering and classification algorithms.
- Design and implementation of evaluation pipelines.
- Experimentation on standalone devices or distributed setups (Raspberry Pi cluster, Kubernetes).
- Visualization and interpretation of results.
- Documentation and presentation of findings.

## Desired skills and qualifications

- Enrolled fulltime student (d/f/m) within Data Science, Computer Vision, Deep Learning, Machine Learning or related field of study.
- Interest in algorithmic machine learning, evaluation metrics and experimental research.
- Project experience in Data Science.
- Familiar with scientific research domain.
- Programming experience with Python, including PyTorch, TensorFlow, or scikit-learn.
- Experience with Version Control Systems e.g., GIT.
- Experience with clustering/classification algorithms is a plus.
- Experience with Docker and Kubernetes is a plus.
- Good communication skills in 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](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.