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Join the ESA, a key player in global space science, and contribute significantly to its Earth Observation Programmes Directorate.
Overview
Salary
No salary declared 😔
Location
Frascati, IT
Expires
Expires at anytime
Organisation summary
The European Space Agency (ESA) is a global leader in space science. Their Earth Observation Programmes Directorate manages operational missions and data from the Copernicus Sentinels, making valuable data available to a wide user community.
Role Summary
- Drive and define the evolution of the Copernicus Sentinels and DestinE data architecture
- Design EO data pipelines for AI and ML workflows
- Contribute to future mission data architecture
- Support the operational management of data
- Develop an ecosystem of data management and modeling services
Role Requirements
- A Master's degree in a relevant engineering field
- Familiarity with satellite missions and sensors
- Experience in scalable data architectures, AI/ML models, and EO data analytics
- Competence in distributed computing frameworks and geospatial data standards
Application Process Details
- For more information and to apply, visit the ESA careers page
ESA is excited to announce the availability of two positions within our Earth Observation Programmes Directorate, specifically in the Copernicus Ground Segment Systems Section and the Ecosystem Development Section. These roles are crucial as ESA continues to manage the operational missions and data management of the Copernicus Sentinels missions, ensuring the availability of high-quality data to a broad user community.
The role: As an EO Data Architect and AI Expert, you will drive and manage the definition and evolution of the Copernicus Sentinels and DestinE data architecture. This includes designing EO data pipelines for AI and ML workflows, contributing to future mission data architecture, and supporting the operational management of data. Your expertise will also support the development of an ecosystem of data management and modeling services to enhance user exploitation activities.
Job requirements: Candidates should have a master's degree in a relevant engineering field, familiarity with satellite missions and sensors, and experience in scalable data architectures, AI/ML models, and EO data analytics. Competence in distributed computing frameworks and geospatial data standards is also required.
Benefits: ESA offers a dynamic and international work environment, with a commitment to diversity, equity, and inclusiveness. The position is initially for 4 years, extendable to an indefinite duration or up to a maximum of 8 years depending on performance and organizational needs.
For more information on the application process and the benefits of working at ESA, please visit our careers page.
