Earth Observation Intern InnoNext

Office work Blue economy Climate change Conservation and ecology Coastal management Environmental education Marine research Other

Job Description

We are seeking a candidate with expertise in Earth Observation, Remote Sensing, or Computer Vision to contribute to the next generation of Recycllux’s plastic detection module. The intern will design and test a computer vision pipeline using Sentinel-1/2 data to identify marine plastic hotspots, enhancing robustness, interpretability, and performance under varied environmental conditions.

This work is central to Recycllux’s EIT-supported innovation project, bridging EO research and real-world deployment of plastic offset services.

This is your opportunity to:

  • Join a dynamic, international, and impact-driven team

  • Contribute to a mission that protects marine ecosystems and accelerates sustainable innovation

  • Collaborate in an experienced team strongly involved in international collaborations

 

Key Outcomes

  • Contribute to the computer vision model for marine plastic detection

  • Implement a robust pipeline using Sentinel-1 SAR and Sentinel-2 multispectral imagery

  • Generate outputs including geo-referenced plastic hotspots, confidence maps, and image overlays

  • Contribute to operational integration with Recycllux’s platform on Google Cloud

  • Support the migration from Earth Engine-based exploration to a scalable GCP-compatible backend

Main Tasks

  • Develop and test image processing pipelines using OpenCV + Python

  • Combine radar and optical data (S1 backscatter + S2 RGB/NIR) for robust detection

  • Generate spatial outputs (GeoJSON, masks) with metadata (e.g., confidence score, timestamp)

  • Optimize the system for speed (≤10 sec/image) and parallel processing

  • Prepare documentation and contribute to integration with the Intervention Portal backend

Type of Stream: Deep-Tech Talents (research-focused internship)

Required Qualifications

  • PhD candidate in Earth Observation, Remote Sensing, Geoinformatics, or Artificial Intelligence

  • Experience with Sentinel imagery, particularly S1/S2 time-series

  • Strong programming skills in Python and OpenCV

  • Familiarity with geospatial formats (GeoTIFF, GeoJSON), cloud workflows, or GCP is a plus

Soft Skills

  • Analytical, self-driven, and structured in approach

  • Able to document and communicate findings clearly

  • Comfortable working independently and collaboratively in a distributed team 

  • Interdisciplinary thinking and openness to stakeholder-driven innovation

  • Fluent in English (spoken and written)

Preferred Qualifications

  • Experience with EO pipelines in Google Earth Engine or Sentinel Hub API

  • Interest in environmental sustainability and applied climate innovation

 

Other information

  • Location: Remote 

  • Duration: 3–6 months (to be defined with the selected candidate)

  • Start Date: Flexible, from Summer/Autumn 2025

The internship is funded through the InnoNext program, with the possibility to lead to long-term employment depending on performance and alignment with Recycllux’s growth plans.

👉 If you meet the InnoNext eligibility criteria, register and apply here: https://www.innonext-project.eu/en/talents
📚 FAQ: https://www.innonext-project.eu/en/faq

The selected candidate will be mentored by Recycllux’s senior team and collaborate with researchers and developers contributing to environmental innovation at scale.

Career level

Internship

Career options

Academic, research and sciences