Thesis: Development and Performance Analysis of Tracking-Filter Algorithms

Job description

Thesis: Development and Performance Analysis of Tracking-Filter Algorithms

Airbus Defence and Space Friedrichshafen (ex Astrium ST)

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe's number one space enterprise and the world's second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Description of the job

Are you looking for a final year project? Would you like to discover the work of a Space Development Engineer? Then apply now! We look forward to you joining us at the Future Programmes department.

Location: Friedrichshafen
Start: October / November

Desired profile

Tasks & accountabilities

·  Development of tracking algorithms for a space-based object tracking system
·  Analysis of tracking filters for performance comparisons to select the optimal algorithm
·  Implementation of the selected algorithm into a code framework (preferred programming language: Fortran)
·  Modularisation of the code implementation with object oriented programming techniques to facilitate integration into the space-based tracking System

A code framework in Fortran 2003 is available and can be used as a starting point.

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.

Required skills

You offer:

·  Enrolled student within Space Engineering or similar field of study
·  Prior knowledge in data filtering algorithms (e.g. Kalman Filtering) and numerical methods
·  Coding-experiences in Fortran, C/C+
·  English: fluent
·  German: would be a plus

You are a good team player, have excellent communication skills, and are able to work independently.