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Intern, Climate Action, Sustainability and Science
European Space Agency - ESA. Package the existing deep learning workflow into a streamlined pipeline generating cocoa maps for selected regions with minimal user intervention .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong programming skills in Python and experience with geospatial libraries such as Rasterio, Xarray, and GDAL. Capable of developing user-friendly tools for cocoa monitoring and creating visualisation and reporting tools for data analysis.
Highest-signal resume keywords
Python ProgrammingGeospatial LibrariesEarth ObservationData ProcessingTime-Series Analysis
ATS Keywords
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Hard Skills
Python ProgrammingGeospatial LibrariesEarth ObservationImage AnalysisData ProcessingTime-Series AnalysisCloud ComputingVisualization ToolsReporting ToolsUser Documentation
Soft Skills
MotivationCommunication
Tools & Technologies
RasterioXarrayGDALAPEx Platform
Industry Keywords
Cocoa MonitoringCocoa MapsSatellite DataESA Member StateCocoa Technicians
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Package the existing deep learning workflow into a streamlined pipeline generating cocoa maps for selected regions with minimal user intervention
- Test the pipeline with case studies from two cocoa-producing countries and document performance and limitations
- Create visualisation and reporting tools, including area statistics, confidence maps, and basic change indicators
- Develop interactive demonstrations on ESA’s Application Propagation Environments (APEx) platform
- Prepare clear documentation and a step-by-step user guide for cocoa monitoring agencies
- Deliver a working pipeline, user manual, demonstration maps for selected countries, and APEx-ready interactive demonstrations
- Transform an established cocoa-monitoring research workflow into a user-friendly tool for cocoa technicians, certification bodies, and national agencies
Requirements
What you’ll need- Must be a university student, preferably in the final or second-to-last year of a Master's-level university course
- Must be able to prove enrollment at university for the entire duration of the internship
- Good knowledge of English or French required
- Knowledge of another ESA Member State language is an asset
- Knowledge and background in Earth observation, image analysis, and data processing are assets
- Strong programming skills in Python highly desirable
- Experience with geospatial libraries such as rasterio, xarray, and GDAL highly desirable
- Familiarity with cloud computing platforms for Earth observation applications is an asset
- Experience with time-series analysis of satellite data is an asset
- Motivation for applying will be explored during the interview
- Applicants must be nationals of an eligible ESA Member State, Canada as a Cooperating State, or Bulgaria, Croatia, and Malta as European Cooperating States
Benefits
Comp & perks- Equal opportunity employer committed to diversity, equity and inclusiveness
- Inclusive working environment
- Workplace support and accommodations for individuals with disabilities
- Assistance during the recruitment process for applicants with disabilities