Intern for Aircraft Multi-agent Policy Selection (d/f/m)

Job Description:

In order to support the department Flight Management Systems, Airbus Defence and Space is looking for an

Are you looking for an internship and want to get to know the work of an Aerospace System Engineer (d/f/m)?  Then apply now! We look forward to you supporting us in the department Flight Management Systems as an intern (d/f/m)! 

• Location: Manching

• Start: as soon as possible

• Duration: 6 months

The department &34;Flight Management Systems&34; at Airbus Defence and Space is in charge of system design and development of avionics, in particular military and civil Flight Management Systems (FMS) and Flight Guidance functions. This covers manned aircraft and Remotely Piloted Aircraft Systems (RPAS) like Barracuda and Eurodrone, including automatic/autonomous operations of these unmanned aircraft.

In the past years, the achievements in various artificial intelligence fields have reached mainstream popularity. Despite this technology’s advantages, its adoption to Multi-agent Flying Systems has remained limited. We are looking for a creative intern who is willing to explore, research and develop a novel multi-agent pathfinding algorithm. Methods could be  ensembled policy strategy, population-based searches, model-based or model-free adaptive control. You will be working closely within our motivated and young team and you have the chance to learn agile software development, automated testing and modern software engineering considering quality and time.

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.

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

• A final thesis is possible after consultation 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.

• Research and develop algorithms for AI-based multi-agent pathfinding

• Integrate the selected algorithm into our development environment.

• Enrolled Fulltime Master student (d/f/m) in Aeronautical Engineering / Mathematics / Computer Science or similar field of study.

• Relevant experience in Python or C&43;&43;

• Familiar with machine learning.

• Knowledge of either optimization or flight dynamics (principles of flight).

• Good English skills.

• Excellent team player.

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 

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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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