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Intern in Payload Data Processing for space-borne Instruments(m/w/x)
Description
As an intern in Payload Data Processing, you will dive into the world of data processing engineering, working on algorithms for remote sensing data while ensuring compliance with industry standards and regulations.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment as a full-time student in aerospace, numerical engineering, natural sciences, physics, mathematics, software engineering, or similar field
- •Basic experience in Matlab or Python
- •Experience in Numerical Analysis or Computational Physics
- •Experience in version control systems and collaborative workflow
- •Fluency in German or English
- •Awareness of compliance risks and commitment to integrity
Education
Tasks
- •Understand the measurement concept of Earth observation payloads
- •Analyze data processing concepts for space-borne instruments
- •Design algorithms for geometric processing of remote sensing data
- •Prototype algorithms for radiometric processing of remote sensing data
- •Develop algorithms for spectral processing of remote sensing data
- •Identify necessary activities in the development life cycle for system/product development
- •Ensure compliance with regulation and program requirements
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
Competitive Pay
- •Attractive salary
Family Support
- •Work-life balance
Flexible Working
- •Flexible working arrangements
Informal Culture
- •International environment
Career Advancement
- •Opportunity to network globally
Other Benefits
- •Participation in the Generation Airbus Community
- Airbus Defence and Space GmbHFull-timeOn-siteJuniorImmenstaad am Bodensee
- Airbus Defence and Space GmbH
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Intern in Payload Data Processing for space-borne Instruments(m/w/x)
The AI Job Search Engine
Description
As an intern in Payload Data Processing, you will dive into the world of data processing engineering, working on algorithms for remote sensing data while ensuring compliance with industry standards and regulations.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Enrollment as a full-time student in aerospace, numerical engineering, natural sciences, physics, mathematics, software engineering, or similar field
- •Basic experience in Matlab or Python
- •Experience in Numerical Analysis or Computational Physics
- •Experience in version control systems and collaborative workflow
- •Fluency in German or English
- •Awareness of compliance risks and commitment to integrity
Education
Tasks
- •Understand the measurement concept of Earth observation payloads
- •Analyze data processing concepts for space-borne instruments
- •Design algorithms for geometric processing of remote sensing data
- •Prototype algorithms for radiometric processing of remote sensing data
- •Develop algorithms for spectral processing of remote sensing data
- •Identify necessary activities in the development life cycle for system/product development
- •Ensure compliance with regulation and program requirements
Tools & Technologies
Languages
German – Business Fluent
English – Business Fluent
Benefits
Competitive Pay
- •Attractive salary
Family Support
- •Work-life balance
Flexible Working
- •Flexible working arrangements
Informal Culture
- •International environment
Career Advancement
- •Opportunity to network globally
Other Benefits
- •Participation in the Generation Airbus Community
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
- Airbus Defence and Space GmbH
Payload Data Processing Development Engineer(m/w/x)
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Master's Thesis Student – Digital Control-Loop Development for Space Applications(m/w/x)
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Praktikum im Bereich KI-basierte SAR-Satellitenfernerkundung(m/w/x)
Full-timeInternshipOn-siteImmenstaad am Bodensee - Airbus Defence and Space GmbH
Masters thesis: Applied Concurrent Engineering & MBSE for Space Cloud Advanced Studies(m/w/x)
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Internship: RF Emitter Identification based on I/Q signatures and Meta-Information with AI(m/w/x)
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