Master thesis within Reinforcement Learning Flight Guidance (d/f/m) at Airbus Defence and Space GmbH
Manching, Bayern, Germany -
Full Time


Start Date

Immediate

Expiry Date

20 Mar, 25

Salary

0.0

Posted On

14 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Computer Science, Python, Machine Learning, Sustainable Growth

Industry

Information Technology/IT

Description

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.

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.

EXPERIENCE LEVEL:

Student

Responsibilities
  • Research and develop algorithms of RL controllers
  • Prepare articles and relevant documentation for publication
  • Utilize Python and C++ to extend existing environments
Loading...