PHD Thesis: Neural Processing Units for Avionics
Job Description: In order to support Airbus Central Research & Technology, Airbus Defence and Space is looking for a
PhD student (d/f/m) in the field of Neural Processing Units for Avionics
Are you looking for a PhD Thesis topic in Electrical Engineering, Computer Science or Information Technology ? Then apply now! We look forward to you joining us at Airbus Central Research & Technology. Location: Taufkirchen/ Ottobrunn Start: as soon as possible Duration: 3 years We at Airbus Central Research & Technology work on cutting edge technologies for future airborne systems, providing novel functionalities whilst reducing the environmental footprint of Airbus products and services. You will join a team of researchers working on advanced avionics systems. We are offering an exciting PhD thesis in the field of advanced neural processing accelerators for on-board systems, embedded into our running activities in Airbus. Our programme gives you the opportunity to apply your passion and expertise to real-world aerospace challenges that will shape the future of our mobility. You will investigate new technologies and ways of integrating neural processing units into future avionic systems enabling new capabilities for autonomous systems across different aeronautical platforms ranging from UAVs to commercial aviation. Your location Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are 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).
- International environment with the opportunity to network globally.
- Work with modern/diversified technologies.
- Opportunity to participate in the Generation Airbus Community to expand your own network.
- You develop solutions to integrate state-of-the art and novel avionics-centric neural processing technologies into upcoming autonomous aerial vehicles.
- You simulate and analyse classical AI accelerator solutions
- You are part of defining, integrating, and field-testing a flying hardware demonstrator
- You present your research at leading international conferences and publish in peer-reviewed scientific journals.
- You are an enrolled full-time student (d/f/m) and educated to a scientific university degree (master) or comparable degree in computer science, electrical engineering, informatics, or related technical fields
- You have profound knowledge on AI inference
- You have a solid foundation in computer hardware technology
- You have basic knowledge on embedded systems and cross compilation
- You have first experiences on RISC-V
- You have hands-on experience in the laboratory on embedded systems hardware
- You have good communication skills in German and English
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