Job Description:
Airbus Protect brings together experts in the fields of cybersecurity, safety and sustainability. We deliver expertise to our own group, Airbus, for whom we act as a privileged partner, but also to external clients.
With more than 1.600 experienced professionals based in Germany, France and the UK, we service large-scale contracts with companies such as critical infrastructures (CNI), other industries and public institutions. Our positioning and strategy enable us to meet the highest standards of the market and to meet the challenges of tomorrow as a team... together with you!
Your Location
At the Airbus site in Friedrichshafen you will be working on innovation where others spend their holidays. Enjoy panoramic views of Lake Constance while having lunch in our canteen. And after work, join one of our many corporate sports groups to go running, sailing or skiing.
Your benefits
Mobile working and flexible working hours
Fair and attractive remuneration and special payments
30 days&39; holiday and additional days off for special occasions
Intensive induction and expert support as part of onboarding in the form of personalized onboarding with a personal mentor
Excellent training opportunities and promising development prospects
Attractive social benefits and offers, including employer-financed pension scheme, employee share options, discounted car leasing, bike leasing, special conditions for insurance, employee benefits at cooperating companies
On-site facilities (depending on location) e.g. canteen and cafeteria, fitness studio, on-site kindergarten, company medical service and other health-related services
This position is part of our Safety Business Unit, which aims to enable safer, greener and more inclusive industries and transportation systems
Your tasks and responsibilities
Design, prototyping and analysis of algorithms for the geometric, radiometric and spectral processing of remote sensing data from space born instruments (imager, radar, sounder)
Definition, implementation and use of simulations models to generate representative data for the analysis of these algorithms, covering the scene of observation, the instrument signal path and the relevant satellite characteristics
Establishment of specifications and verification plans for end-to-end simulators supporting performance assessments and the operational processing of satellite remote sensing data
Acquisition of an in-depth understanding and knowledge of the measurement principles of space-born remote sensing instruments and the related instrument and satellite induced measurement distortions as well as the corresponding corrective data processing approaches
Establishment of good working relationships to Space System projects and the international scientific and engineering community
Understanding customer’s usage of the different remote sensing data products and the resulting needs on the data content, quality and reliability
Required qualifications
The work task requires knowledge and skills, as usually provided by a relevant, completed degree with a standard period of study of up to 4 years in the area of Physics, Mathematics, Aeorospace, Electrical Engineering or equivalent , a standard period of study of more than 4 years and related extended subject-specific additional qualifications or completed vocational training with a corresponding, particularly extensive, subject-specific additional qualification can be acquired. The overall knowledge and experience required may have been acquired in other ways
Required skills
Extensive knowledge and experience in the above-mentioned areas of responsibility
Proven expertise in at least one of the following domains: image processing, geometric data processing (geolocation), geodesy, spectrometer or interferometer or radar data processing, Earth remote sensing, space instrument design and performance
Broad physical and mathematical background
General knowledge in numerical modelling and simulation
Software Engineering background (Git, Continuous Integration, S/W builds)
Knowledge and experience in programming such as C&43;&43; and Python (or Matlab)
Experience working in an agile S/W project (Scrum) is an asset
Background in processes and standards in space industry is an asset
Ability and enthusiasm to rigorously and reliably perform the detailed day-to-day design and analyses task.
Ability to integrate into a multinational team and to establish good relationships with international customers, subcontractors, laboratories and scientific institutions
Motivation and Initiative to bring in ideas to further develop the field of data processing
Willingness to travel domestically and abroad
Language skills: English and German fluent (at least language level B2)
Not a 100 match? No worries! Airbus supports your personal growth with customized development solutions .
Take your career to a new level and apply online now!
This activity requires awareness of potential compliance risks and integrity. Both are essential for the company&39;s success, reputation and sustainable growth.
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 Protect GmbHContract Type:
PermanentExperience Level:
ProfessionalJob Family:
Computing&Comm and Info& Data Processing 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&64;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.