Master student (d/f/m) in the field of onboard AI/ML for 5G/6G Satellite Non-Terrestrial Networks

Job Description:

In order to support the Digital Payload Processors Design Team, Airbus Defence and Space is looking for a

Master student (d/f/m) in the field of onboard AI/ML for 5G/6G Satellite Non-Terrestrial Networks

You are a full-time student (d/f/m), looking for a master thesis and want to get to know the work of a AI engineer for space systems?We look forward to you supporting us in the Digital Payload Processors as a Master student (d/f/m)!

• Location: Taufkirchen/Ottobrunn, near Munich
  
• Start: 01.10.2026
  
• Duration: 6 months
  

Your location

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Your benefits

• Attractive salary and work-life balance with an 35-hour week (flexitime).
  
• Mobile working after agreement with the department.
  
• International environment with the opportunity to network globally.
  
• Work with modern/diversified technologies.
  
• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
  
• Opportunity to participate in the Generation Airbus Community to expand your own network.
  

Your tasks and responsibilities

Your core mission is to answer a critical scientific question: How do hybrid CNN/LSTM models perform on space-grade hardware under strict resource constraints of next-generation satellite communications?

Your tasks will focus on deploying AI models on our next-generation FPGA-based System-on-Chip (SoC) spacecraft processor system. This includes:

• Analyzing and partitioning the AI model to divide workloads between standard neural processors and custom hardware domains.
  
• Exploring the deployment of hybrid CNN/LSTM models on hardware architectures.
  
• Optimizing and quantizing the network to drastically reduce memory overhead and power consumption for space deployment.
  
• Profiling system performance by measuring real-time execution latency, throughput, and power efficiency under space-grade constraints.
  
• Validating model accuracy to ensure the hardware deployment meets strict 5G/6G communication standards.
  
• Potential scope includes exploring the development of high-performance C/C++ kernels to accelerate complex, sequential model operations directly on the hardware.
  

Desired skills and qualifications

• Enrolled full-time student (d/f/m), in the area of Electrical/Electronics Engineering, Computer Engineering, Communications Engineering, Aerospace Engineering or an equivalent field of study.
  
• Strong knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
  
• Proficiency in core programming languages, specifically Python and C/C++.
  
• Desire to learn embedded processing platforms and FPGA tools like AMD Xilinx Vitis/Vivado.
  
• Excellent written and spoken English for technical documentation and communication; German is a plus.
  
• Ability to work independently and cooperate well within a team.
  
• Strong problem-solving skills and good attention to detail.
  
• Knowledge of satellite communications and/or 5G/6G networks is a plus.
  

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!

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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.

Company:
Airbus Defence and Space GmbH

Employment Type:
Final-year Thesis
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Experience Level:
Student

Job Family:
Support to Management

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