Senior Earth Observation Expert

Are you looking for a new opportunity to take your career to a higher orbit? To join an international group with a successful track record in Space Engineering? A job adapted to your career ambitions and in which you could have an impact for the years to come?

We are looking for a Senior Earth Observation Expert with strong expertise in EO (Earth Observation) data elaboration, processing, and interpretation to join our AI team focused on downstream applications and prototyping.

You will play a key role in handling and exploiting SAR and Optical EO data, extracting actionable insights, and supporting the development of innovative AI-driven geospatial solutions.

This position is open to protected categories under Italian Law 68/99 (“Rules for the right to work of disabled people”).
Questa posizione e’ aperta alle categorie protette L. 68/99.

Tasks and activities

The scope of work will include:

• EO Data Elaboration & Processing: process, refine, and enhance SAR and Optical EO datasets for diverse applications.
• Advanced Data Exploitation: apply scientific methodologies to interpret EO signals, extract information, and enhance data usability.
• Feature Extraction & Modeling: develop techniques for deriving meaningful insights from EO imagery, including spectral, temporal, and spatial analysis.
• Downstream Application Development: contribute to AI-driven EO applications, supporting the handling, processing and integration of remote sensing data into machine learning workflows.
• Prototyping & Innovation: collaborate with the AI team to create proof-of-concept solutions that demonstrate the value of EO data in various domains.
• Multi-Sensor Fusion: integrate data from multiple EO sources, including free and commercial satellites.
• Scientific Research & Technical Support: stay updated on the latest advancements in EO processing, AI, and geospatial analytics to drive innovation.

Skills and experience

The following skills and experience are mandatory:

• Master’s/University degree or equivalent qualification in Environmental Engineering, Aerospace, or a related field. A PhD in Earth Observation will be considered an asset.
• At least 3 years proven experience in EO data elaboration, focusing on both SAR and Multispectral/Optical data processing and analysis.
• Strong scientific understanding of EO signals, remote sensing physics, and geospatial interpretation techniques.
• Proficiency in EO data processing software like QGIS, SNAP, GDAL, ESA Toolboxes.
• Knowledge of EO platforms such as Google Earth Engine, Sentinel Hub, or AWS OpenEO.
• Strong analytical and problem-solving mindset, with a research-driven approach to EO data exploitation.
• Desire to work both autonomously and as part of a team, in an international multicultural environment.
• Solution oriented mindset, with a customer focused communication skill.
• Fluent in English, both written and spoken.

The following skills and experience would be highly desirable:

• Experience with AI/ML techniques for EO data analysis, including deep learning for feature extraction and classification.
• Programming skills in Python (or MATLAB/R) for EO data handling and feature extraction.
• Familiarity with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn for geospatial applications.
• Understanding of AI-based techniques for change detection, object recognition, and EO-driven predictions.
• Knowledge of data fusion techniques for combining EO with ancillary geospatial datasets.

Why should you apply?

• You will have the opportunity to work within leading space organisations across Europe.
• We encourage everyone to think outside the box and to push the boundaries of traditional knowledge. This role is an opportunity to join a forward-thinking company and allows for a deeper understanding of the industry.
• To be part of a company that values integrity, inspiration, care and collaboration.
• Benefits include: competitive remuneration packages; unique career opportunities, including working in other countries; access to training and development programmes; flexible relocation support.

We welcome applications from people with disabilities, members of ethnic minorities, all genders, LGBTQ+ individuals and ex-service personnel.