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AIAirbus Defence and Space GmbH

Master Thesis / Internship within Resilient Magnetic Anomaly Navigation(m/w/x)

München, Taufkirchen, Ottobrunn
Full-timeInternshipWith Home Office

Developing advanced estimation algorithms for magnetic anomaly navigation in aerospace. Experience with Matlab or Python programming required. Mobile working, flexitime.

Requirements

  • Full-time student in electrical engineering, robotics, aerospace engineering, computer science, physics, or related field
  • Good mathematical skills in probability theory and non-linear dynamics
  • Experience in Matlab or Python programming
  • Previous experience in machine learning, state estimation, sensor fusion, or navigation (plus)
  • Fluent English or German
  • Submission of cover letter, CV, relevant transcripts, and enrollment certificate

Tasks

  • Explore advanced estimation algorithms for magnetic anomaly navigation
  • Optimize positioning uncertainty using geomagnetic anomaly field
  • Adapt suitable algorithms for navigation simulation
  • Implement algorithms in navigation simulation
  • Test algorithms in navigation simulation

Education

  • Currently in higher education

Languages

  • EnglishFluent
  • GermanFluent

Tools & Technologies

  • Matlab
  • Python
  • machine learning
  • state estimation
  • sensor fusion
  • navigation

Benefits

Flexible Working

  • Work-life balance
  • Flexitime
  • Mobile working
  • Flexible working arrangements

Career Advancement

  • Networking opportunities

Modern Equipment

  • Modern technologies

Informal Culture

  • Team meetings

Social Impact

  • Community participation
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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