Master thesis within Reinforcement Learning Flight Guidance (d/f/m)

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Airbus

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Job Description:

In order to support the department Mission System Concepts, Airbus Defence and Space is looking for a

Master thesis within Reinforcement Learning Flight Guidance (d/f/m)


Are you looking for a Master Thesis and want to get to know the work of an Aerospace Engineer? Then apply now! We look forward to you supporting us in the department Air Power Concepts as a Master Thesis Student (d/f/m)! 

  • Location: Manching

  • Start: February 2025

  • Duration: 6 months


In the past years, the achievements of Reinforcement Learning (RL) have reached mainstream popularity. Despite this technology’s advantages, its applications to complex and certifiable Flying Systems remain limited. We are looking for a creative Master student who is willing to explore, research and develop novel RL algorithms for robust aircraft guidance and control. The student will benefit from the close suppression of multiple experienced members of the Cross-platform Mission Systems (XPMS), a plateau tasked with development of advanced algorithms.


Your location
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, A400M and future systems such as the Eurodrone and FCAS.


Your benefits

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

  • Mobile working after agreement 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.


Your tasks and responsibilities

  • Research and develop algorithms of RL controllers

  • Prepare articles and relevant documentation for publication

  • Utilize Python and C++ to extend existing environments


 Desired skills and qualifications

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

  • Relevant experience in Python and MATLAB/Simulink

  • Familiarity and excitement for: machine learning, flight systems

  • Good English skills

  • 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:

Final-year Thesis

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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.

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Tags: Computer Science Engineering Machine Learning Mathematics Matlab Python Reinforcement Learning Research

Perks/benefits: Career development Flex hours

Region: Europe
Country: Germany

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