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Job Description:
In order to support the department Flight Management Systems, Airbus Defence and Space is looking for an
Intern for AI-based aircraft multi-agent pathfinding (d/f/m)
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: min. 3 months
The department “Flight Management Systems” 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 whiling 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.
The Airbus Manching site is a busy two-runway airdrome, where more than 5000 employees develop, build and flight-test state-of-the art military aircraft like Eurofighter, Tornado and future systems such as the Eurodrone and FCAS.
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++
Familiar with machine learning
Knowledge of either optimization or flight dynamics (principles of flight) would be a plus
Excellent team player
Fluent English skills
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
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 emsom@airbus.com.
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.
Apply now
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