Internship / Detections of anormal behaviours (m/f).
Airbus Defence & Space Elancourt (ex Cassidian)
European specialist in cyber security, Airbus Defence and Space mission is to protect companies, critical national infrastructures, as well as government and defence organisations against cyber threats. Its reliable and high performance security products and services are able to detect, analyse and neutralise the most sophisticated cyber-attacks.
Airbus is a global leader in aeronautics, space and related services. In 2015, it generated revenues of €64.5 billion and employed a workforce of around 136,600. 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 civiland 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
Airbus Defence and Space (Elancourt) is looking for an intern (m/f) for a 6-month internship.
You will work within a research and development team (15 people) made up of research engineers, doctoral students and interns, specialising in information processing. This team is involved with upstream study projects as well as with various research programmes partially financed by the National Research Agency, the European Defence Agency and the European Union. You may be offered the possibility of continuing the internship under a CIFRE contract for PhD candidates.
Our department is currently developing a federative platform for the production of applications merging heterogeneous information by semantic approaches. This software provides a comprehensive framework to the internship from which you can benefit (development environment, test data, etc.). This internship is related to data merging and processing issues in an offline framework. It comes within the scope of the maritime surveillance for which the capability to detect abnormal behaviours in an automated way is an important point. The emergence of new technologies such as satellite AIS also requires adapting the methods for detecting abnormal behaviours to an oceanic scale. Previous work made it possible to develop unsupervised techniques for the construction of a probabilistic model for ship behaviour from satellite AIS data. Using course analysis, our method discovers some specific patterns in the data (mainly maritime routes and stopping areas). These patterns and the transitions are probabilistically modelled and give rise to a normality model which can be used to detect anomalies in real time and provide course predictions.
This internship will start on 1st February 2017 (subject to some flexibility).
Internships at Airbus