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

Airbus; Germany (OH); On-site; USD 15,000 - 26,000; Part time

Benefits offered by this job

Salary & flexitime

International environment

Modern tech

Team meetings

Generation Airbus

Job summary

Airbus Defence and Space GmbH is seeking an Intern (d/f/m) in the Flight Management Systems department in Manching. Start: October 2026 for 4-6 months. The role involves researching and developing algorithms for multi-agent trajectory planning, with code in Python and C++.

You will be supported by expert researchers in a highly international environment. The department develops FMS and Flight Guidance systems for manned and RPAS aircraft.

Qualifications

• Enrolled full-time Master student (d/f/m) in Mathematics, Computer Science, Aeronautical Engineering or a similar field of study.
• Strong programming skills in Python and/or C++.
• Experience with MATLAB/Simulink is a plus.
• Familiarity and excitement for optimization, machine learning and trajectory planning.
• Experience with development tools such as Git, Linux and documentation in LaTeX.

Responsibilities

• Research and development of algorithms for multi-agent trajectory planning.
• Enhancing the functionality of existing algorithms in Python and C++.
• Support in the preparation of relevant documentation for future research.

Skills

Python

C++

MATLAB/Simulink

Education

Master in Mathematics

Master in Computer Science

Master in Aeronautical Engineering

Tools

Git

Linux

LaTeX

Job description

In order to support Airbus Defence and Space we are looking for an Intern (d/f/m) in the Flight Management Systems department. Are you looking for an internship and want to get to know the work of an Aerospace Engineer? We look forward to you supporting us in the Flight Management Systems department as an intern (d/f/m)! Location: Manching Start: October 2026 Duration: 4-6 months

Reliable and efficient algorithms for multi-agent trajectory planning is 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 to enhance novel optimization methods for robust multi-aircraft formation flight. The work may involve a wide range of mathematical and algorithmic 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, Eurodrone, Bird of Prey and Ravenstorm 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.

Benefits

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

• Research and development of algorithms for multi-agent trajectory planning.
• Enhancing the functionality of existing algorithms in Python and C++.
• Support in the preparation of relevant documentation for future research.

Desired skills and qualifications

• Enrolled full-time Master student (d/f/m) in Mathematics, Computer Science, Aeronautical Engineering or a similar field of study.
• Strong programming skills in Python and/or C++.
• Experience with MATLAB/Simulink is a plus.
• Familiarity and excitement for optimization, machine learning and trajectory planning.
• Experience with development tools such as Git, Linux and documentation in LaTeX.
• Very good English skills.
• Excellent team player.

Company: Airbus Defence and Space GmbH Employment Type: Internship

Experience Level: Student Job Family: Support to Management

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.

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.

Any impersonation of Airbus to do so should be reported to [e-mail].

We support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.