Master thesis on deterministic AI inference on-board Telecom Satellites

Job description

Job Description:

In order to support our team, Airbus Defence and Space is looking for a

Masterand student in the field of deterministic AI inference on-board Telecom Satellites (d/f/m)

Are you up to discover and inspire advanced processing solutions using Artificial Intelligence on high-end FPGA-based hardware for next-generation Telecom Satellites? Do you want work at the edge of innovation in this field? Then apply now!

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Location: Ottobrunn/Munich

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Start: June or July 2024

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Duration: 6 months

You will support the department Telecom & Navigation Processing Germany which specializes in high performance processing solutions for satellites. The R&T focus is satellite on-board machine learning inference and application design for radio frequency (RF) communication, anomaly detection, network orchestration, as well as future 5G/6G payloads.

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

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Attractive salary and work-life balance with an 35-hour week (flexitime).

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International environment with the opportunity to network globally.

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Work with modern/diversified technologies.

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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.

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Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

Artificial Intelligence offers great potential in aeronautics and space, such as computer-vision guided aircraft navigation and landing maneuvers, or self-supervising spacecrafts that autonomously recover from faults. Besides high accuracy requirements on neural networks for such critical applications, the on-board inference must be performed in a predictable and time-deterministic manner to satisfy flight certification requirements. 

Airbus has developed a custom in-house AI inference engine which is now ready to be integrated into spacecraft hardware. Your tasks will focus on deploying this engine on our next-generation FPGA-based System-on-Chip (SoC) spacecraft processor system. This includes:

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Implementing the in-house IP-core on the spacecraft’s FPGA

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Ensuring efficient data streaming to/from the IP by implementing high-speed interfaces

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Extending the AI capabilities by integrating new layers/operations

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Comparing of key metrics (power efficiency, data throughput, compute power) to other state-of-the-art space-grade ML accelerators

With this position you will have the opportunity to work in an interdisciplinary team of AI  specialists across the Airbus divisions and shape the AI-capabilities of future satellite systems. 

Desired skills and qualifications

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Enrolled full-time student within a background in VHDL Engineering, Electrical Engineering, Artificial Intelligence, or similar field of study

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Experience with industry-standard FPGA tools, such as Vivado

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FPGA and embedded-systems programming skills (VHDL / Verilog, Python, C, C++) 

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Experience with common Machine Learning frameworks (Tensorflow / PyTorch / Matlab)

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Fluent English is mandatory; French or German would be an asset

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.

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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