Remote Sensing Specialist – The Rewilding Company

The Rewilding Company is a pioneering organisation dedicated to restoring and enhancing natural ecosystems through innovative rewilding practices. Our mission is to create resilient landscapes that support biodiversity, combat climate change, and foster sustainable communities.

By leveraging cutting-edge technology and scientific research, we aim to revitalize degraded habitats and promote the reintroduction of native species.

As we expand our efforts globally, we are looking for a Remote Sensing Specialist to join our dynamic team, bringing expertise in satellite imagery and data analysis to help monitor and assess the climate, social and biodiversity impacts of our rewilding initiatives.

Key Responsibilities

• Lead innovation and integration of machine learning techniques to enhance the identification and classification of landcover types, ensuring high temporal and spatial resolution using RS data (e.g., Sentinel 2, SAR, JAXA, Landsat imagery) whilst improving accuracy and reducing uncertainty.

• Spearhead the development and deployment of machine learning models to monitor and predict both historic and ongoing changes in forest cover for conservation and reforestation projects, optimising outcomes through advanced analytics.

• Drive creation of dynamic, data-driven models to assess annual risk of deforestation over the project lifetime, incorporating digital terrain models and leveraging predictive ML algorithms to forecast trends.

• Lead carbon projection modelling over the project lifetime, utilising state-of-the-art satellite data, ML, and RS techniques to enhance predictive accuracy.

• Innovate and apply cutting-edge RS and ML methods to monitor sea-level rise and its impact on project areas, ensuring timely insights for decision-making.

• Develop models using satellite data and ML to determine forest height, soil organic carbon, forest biomass and species at high spatial and temporal resolutions, ensuring a comprehensive analysis of environmental health.

• Identify suitable reforestation areas through ML-driven analysis of multi-source satellite and drone data, optimising land- use strategies.

• Oversee the processing and analysis of drone-mounted RS data, such as LiDAR, to enhance understanding of terrain and vegetation structures.

• Lead efforts in modelling species zonation using advanced ML techniques to refine ecosystem restoration strategies.

• Develop innovative methodologies for utilising RS and ML approaches to baseline and monitor social and biodiversity impacts.

• Collaborate with operational teams to integrate field data with RS outputs.

Essential Skills and Qualifications:

• Master’s degree or PhD in Remote Sensing, Geospatial Science, Environmental Science, with a proven ability to lead innovation in the application of machine learning to geospatial analysis.

• Extensive experience in RS, GIS applications, and advanced data analytics, with a focus on leveraging ML to improve decision-making.

• Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS tools (e.g., ArcGIS, QGIS), as well as experience in ML libraries such as TensorFlow or PyTorch.

• Demonstrated experience in processing and interpreting satellite imagery (e.g., Sentinel 2, Landsat) using ML and deep learning algorithms to reduce uncertainty and increase accuracy.

• Ability to create commercial-standard data visualisations and communicate complex data insights to a variety of audiences, adapting interpretation methods accordingly.

• A commitment to openly share and collaboratively test work with colleagues throughout every stage of the process, fostering a culture of transparency, peer feedback, and continuous improvement.

• A track record driving innovation in RS data processing and interpretation.

• Strong analytical and leadership skills, and ability to self-manage and adopt an agile approach to tasks, thriving in fast- paced, startup environments where adaptability and self-direction are key.

• Proven commitment to staying updated with the latest advancements in RS, ML, and environmental science, with the ability to challenge conventional approaches and foster both incremental and transformative change.

• Experience incorporating fieldwork with RS projects, collaborating with operational teams on the ground to collect and integrate underlying data.

• Willingness to work within an international, multicultural team and conduct field work in remote regions.

• The right to work in the UK.

Desired Skills:

• Experience with carbon markets, Verra methodologies, and an understanding of how ML can optimise carbon credit calculations.

• Familiarity with translating workflows into R and developing reproducible ML models.

• Willingness to relocate to Cornwall, UK; enabling regular in person working with the technical team.

What We Offer:

• Competitive salary and benefits package.

• Flexible working hours and a supportive remote work environment.

• The opportunity to lead impactful projects that mitigate climate change and conserve biodiversity.

• Opportunities for professional development and growth, with a focus on driving innovation and leading advancements in RS and ML.

How to Apply:

submit:

• CV, focused on outputs of each role.
• A covering letter succinctly evidencing your fit to the key responsibilities, skills and qualifications.
• A short description (no more than 300 words) of how you have driven innovation in a past project—particularly how you applied new technologies, improved efficiency, or solved complex problems.

Tagged as: ArcGIS, ENVI, ERDAS Imagine, Landsat, QGIS, Remote Sensing jobs, Remote Sensing Specialist, Sentinel 2, The Rewilding Company