RESEARCH SCIENTIST – FOREST REMOTE SENSING (PhD) (Madrid)

RESEARCH SCIENTIST – FOREST REMOTE SENSING (PhD) (Madrid)

21 oct
|
Retree
|
Madrid

21 oct

Retree

Madrid

Retree designs and delivers reforestation and ecosystem-restoration projects in Spain and Portugal, and develops Carbin, our satellite-based platform for monitoring forest health, productivity and climate risk. We are a certified B Corp and an officially recognised Innovative SME. We are now strengthening our R&D; department with an experienced scientist who will develop the next generation of Carbin’s forest metrics, working closely with our Head of R&D.;

WHAT YOU WILL DO

- Develop and validate new forest-monitoring metrics derived from remote-sensing data.

- Work with our software team to integrate your developments into Carbin and its client reports.

- Document and publish methods and results (technical reports, conference papers, peer-reviewed publications) and represent Retree at scientific and sector events.

- Contribute to the scientific positioning of Retree’s monitoring services within national and European carbon-certification frameworks.

MUST HAVE

- PhD in remote sensing, forestry, geomatics, or a related field with a strong remote-sensing component.

- At least 2 years of research experience beyond the PhD (academic or industrial).

- Publication record in remote sensing or forest science.

- Hands-on experience processing remote-sensing data for vegetation or forest applications (optical and/or 3D data such as LiDAR or photogrammetry).





- Strong Python skills for scientific and geospatial computing (e.g., NumPy, xarray, rasterio, geopandas) and solid statistics, including uncertainty quantification.

- Ability to take a research question from idea to validated result autonomously, and to communicate clearly with non-specialists.

- Fluent English.

NICE TO HAVE

- Spanish (working level or above).

- Experience with airborne or terrestrial LiDAR point clouds.

- Machine-learning or deep-learning experience applied to geospatial data.

- Knowledge of forest biomass estimation, allometric modelling or national forest inventories.

- Familiarity with carbon-market standards and certification methodologies.

- Cloud computing (AWS) and reproducible-research practices (git, containers).

WHAT WE OFFER

- Full-time contract.

Hybrid work: office in Madrid (C/ Miguel Yuste 18) with the possibility of working from home 3 days per week.

- Adaptable working hours; summer schedule with reduced hours.

- 25 days of holiday plus 5 extra days off.

- A small, multidisciplinary team, real projects on the ground with measurable impact, and an in-house technology product in active growth.

- Freedom to publish and to build your scientific profile while working on applied problems.

- Gross annual salary of €40,000–50,000, depending on experience.

Questions about the role: [email protected]

📌 RESEARCH SCIENTIST – FOREST REMOTE SENSING (PhD) (Madrid)
🏢 Retree
📍 Madrid

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