Navigation PhD thesis - Localisation by data fusion - 10447012 - (m/f)

Job description

Airbus Operations SAS

Airbus is a global leader in aeronautics, space and related services. In 2018 it generated revenues of € 64 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world's leading space companies. 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.

Job Description

Contact :
You can apply online on our career site (https://www.airbus.com/careers.html) by attaching your CV and cover letter to this job offer.

By submitting your CV or application, you consent to Airbus using and storing your information for the purpose of tracking your application or future employment. This information will only be used by Airbus

Description of the job :
In the Avionics Center of Competence, the job holder will be part of the team in charge of the development of Autonomous Localization Systems (Inertial Measurement Unit, GNSS, VISION based sensors...) of Airbus A/Cs. In this frame, he/she will have to carry on a study about fusion technics of several measurements in order to enhance robustness of the autonomous localization to GNSS interferences.

Task & accountabilities :
To reach this goal, he/she will have to:

1. Realize a bibliography study about mathematical fundamentals structuring the current autonomous localization design (classic probabilist approach based on linear optimal filtering and stastiscal tests). Then, the bilbliography study will focus on other new fusion technics relying on uncertain probability theories such as Evidential Theory.

2. Identify study cases and Design both classifications of ground multipath risk by vision based technics and several INS/GNSS/VISION fusion architectures able to cope with ground multipath risk with evaluation of related integrity risk of localization solutions.

3. Model of the study cases and Process of cross performances validation.

4. Generalize the studied concept to the mitigation of others GNSS interference threats.

Required skills :
- Good level in mathematics, in particular applied mathematics to the data fusion, probability theory, evidence theory, Dempster-Shafer...
- Good level in signal and image treatment
- MATLAB/SIMULINK
- C/C++
- PYTHON
- The knowledge of the navigation sensors could be an additional benefit
- Think out of the box attitude with a deeper analysis focus
- And ability to have a global view.

The following soft skills are primordial to ensure a good experience and that the mission be a success:

- Rigor
- Curiosity / Creativity
- Self driven
- Good interpersonal and communication skills
- Autonomy/proactivity
- Analysis and synthesis skills
- Beginner level of French and advanced level of English

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.

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.