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PHD Thesis: Quantum Sensing for Navigation (d/f/m)

Airbus Defence and Space GmbH -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents

Qualifikationen

MATLAB
Doktorat
Forschungserfahrung
Master
Physik
Elektrotechnik
Python
Informationstechnologie

Vollständige Stellenbeschreibung

Job Description:

In order to support the Central Research & Technology team, Airbus Defence and Space is offering a

PHD Thesis: Quantum Sensing for Navigation (d/f/m)

Are you looking for a PhD Thesis topic in Electrical Engineering, Information Technology or Physics? 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

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

30 days holidays
On-site-facilities: canteen and cafeteria, fitness center
Attractive salary and work-life balance with a 35-hour week (flexitime).
Traveling overseas or within Germany (team events) is possible after consultation and agreement from 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

You develop solutions to integrate state-of-the art and new quantum navigation technologies into resilient navigation systems.
You simulate and analyse hybrid classical-quantum navigation 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.

Desired skills and qualifications

Scientific university degree (master) or comparable degree in physics, robotics, aerospace or electrical engineering, quantum technologies, or related technical fields.
Knowledge on classical navigation methods, sensor fusion and state estimation theory.
Solid foundation in mathematics, experience with probabilistic models.
Basic knowledge of simulation modelling and good background in related software tools (Matlab/Python).
First experiences in the field of quantum sensing is an asset.
Hands-on experience in the laboratory.
Fluent 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. <JF-EN-ED>

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 [email protected] .

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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