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Working at Airbus

  • Company employees
    165000

Hiring in

  • Global

Office locations

Join Airbus Central Research & Technology in Taufkirchen/Ottobrunn, Germany as a PhD student (d/f/m) for a 3-year PhD Thesis focusing on Neural Processing Units for Avionics. Work on cutting-edge airborne systems with a 35-hour week and flexitime working arrangements in an entry-level research role requiring proficiency in German and English.

Requirements

  • Enrolled full-time Master's student in computer science, electrical engineering, informatics, or related technical fields.
  • Profound knowledge on AI inference.
  • Solid foundation in computer hardware technology.
  • Basic knowledge on embedded systems and cross compilation, with first experiences on RISC-V.
  • Hands-on laboratory experience on embedded systems hardware.
  • Good communication skills in German and English.

Skills & Responsibilities

  • AI inference and accelerators: Develop and simulate solutions to integrate novel avionics-centric neural processing technologies into autonomous aerial vehicles.
  • Hardware integration and testing: Define, integrate, and field-test a flying hardware demonstrator using hands-on laboratory experience with embedded systems.
  • Research and publication: Present research at leading international conferences and publish in peer-reviewed scientific journals utilizing communication skills.
  • Potential transition routes: People from embedded systems engineering or hardware development roles may bring relevant programming and circuit design skills, alongside meeting the technical Master's degree requirements.

Job description

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.

Your tasks and responsibilities

  • 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.
Apply now
Airbus

PHD Thesis: Neural Processing Units for Avionics

Munich, Ottobrunn, Taufkirchen

Desired skills and qualifications

  • 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

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!

#MYCYM

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:
PHD, Research
-------

Experience Level:
Entry Level

Job Family:
Elec.Electron.&Electromag,Optics&Optron.

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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