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