Internship for Multi-Agent Path Planning Optimization (d/f/m)

Job description

Job Description:

In order to support the Flight Management Systems department, Airbus Defence and Space is offering a

Internship for Multi-Agent Path Planning Optimization (d/f/m)

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

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Location: Manching

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Start: 01.03.2025

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Duration: 6 months

Reliable and efficient algorithms for multi-agent path planning are an essential building block of future autonomous flying systems. In recent years, the incorporation of machine learning methods to enhance optimization has proven to be advantageous. Despite these advantages, the applications to complex and certifiable products remain limited. We are looking for a creative Master student who is willing to explore novel optimization methods to improve and develop our algorithms for robust multi-aircraft formation flight. The exploration may involve a wide range of methods, spanning from geometrical approaches to state-of-the-art deep learning techniques. The student will benefit from the close support of experienced members from our research and technology team, a plateau tasked with development of advanced algorithms. 

The department "Flight Management Systems" at Airbus Defence and Space is in charge of system design and development of 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.

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

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

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International environment with the opportunity to network globally.

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Work with modern/diversified technologies.

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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.

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Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

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Research and development of algorithms for multi-agent path planning.

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Enhancing the functionality of existing algorithms in Python and C++.

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Support in the preparation of relevant documentation.

 Desired skills and qualifications

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Enrolled full-time Master student (d/f/m) in Mathematics, Computer Science, Aeronautical Engineering or a similar field of study.

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Relevant software development experience in Python and/or C++.

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Familiarity and excitement for optimization, machine learning and path planning.

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Very good English skills.

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Excellent team player.

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!

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:
Internship

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Experience Level:
Student

Job Family:
Support to Management

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