JOB DESCRIPTION:

In order to support Airbus Defence and Space in Ottobrunn, we are looking for a

WORKING STUDENT FOR THE DEVELOPMENT OF ANTI-JAMMING APPLICATION USING AI TECHNICS (D/F/M)

You are a full time student, looking for a working student position and want to get to know the work of a FPGA Engineer for space? Then apply now! We look forward to you supporting us as a working student (d/f/m) with approx. 18 hours a week!

• Location: Ottobrunn/Munich
• Start: As soon as possible
• Duration: 6 months

DESIRED SKILLS AND QUALIFICATIONS

• Enrolled within Electrical Engineering, Telecommunication Engineering or similar field of study
• Background in signal processing and AI/ML frameworks (TensorFlow, PyTorch)
• General knowledge on FPGAs, SoCs and HDLs (VHDL is preferred)
• Programming skills (Python, C/C++, Matlab/Simulink)
• Fluent English is mandatory; German would be an asset
• You are a good team player, have excellent communication skills, and are able to work independently.
  Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.
  Not a 100% match? No worries! Airbus supports your personal growth.
  Take your career to a new level and apply online now!
  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.

EXPERIENCE LEVEL:

Student

The demand for high-speed communication links in mobile communication systems has significantly increased over the past years. Satellite telecom constellations can help to extent the connectivity even in the most remote places in the world. However, the quality of service can be affected, or jammed, due to the deliberate transmission of radio signals that disrupt, degrade, or block communication channels. We would like to study means for preventing this interference using Artificial Intelligence. Your task will be to evaluate and optimize ML algorithms, for further integration into a SoC platform. Afterwards, you will support a demonstrator setup, where the algorithms can be tested with generated data in a simulated communication channel. You will run the test plan for verification and validation of the ML models. As part of your learning process, you will also be encouraged to enhance the proposed ML models with a different approach.

• Understand the workflow of satellite telecommunications, and the affection of the service due to jamming
• Propose a working pipeline on how the ML models can identify, classify and mitigate a jamming attack
• Assess and prune the ML models for proper deployment into the SoC
• Implement the proposed pipeline in the Demonstrator
• Run the Test Plan for assessing the deployed models
• Goal: Assess the performance of AI-based solutions for detecting and mitigating jamming for future on-board satellite processing