Offers “Airbus”

Expires soon Airbus

Internship: Radio Signal Emitter Classification using Neural Networks and Simulink

  • Internship
  • Friedrichshafen (Tübingen Region)
  • IT development

Job description

Airbus Defence and Space GmbH

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 an internship? Would you like to discover the world of Radio Frequency System? Then apply now! We look forward to you joining us as an intern (m/f) in the Engineering Department (35 hours/week, flexi-time).

Location: Friedrichshafen
Start: March – April 2019
Duration: 5-6 months

Tasks & accountabilities

This task investigates how Radio Frequency (RF) emitters can be recognized and classified by the use of Neural Networks. The goal is the availability of a RF “Fingerprint” Simulink model which recognizes a RF emitter from its signal RF spectrum.
Given Neural Network architectures shall be integrated in Matlab/Simulink then optimized and tested with RF signals under realistic conditions.

Your exciting Tasks are:

·  Integrate/implement a given Neural Network in Matlab/Simulink

·  Run the Neural Network in conjunction with a given Software Defined Radio (SDR) and synthetic / real RF signals

·  Evaluate the results

·  Train the Neural Network with (new) synthetic or real RF signals using Google Tensorflow

·  Deploy the Simulink model onto an embedded computer

·  Prepare and participate in field tests

·  Document your work

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 Information Technology, Simulation, Automation or similar field of study

·  Matlab/Simulink

·  Signal Processing, Radio Communication

·  Neural Networks, Artificial intelligence

·  English: fluent

·  German: fluent

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

Make every future a success.
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