The candidate must have a “can do” attitude and looking for new challenges who can adapt to a fluid work environment and an occasionally demanding schedule. In return, you will be a part of a motivated, highly skilled team and contribute to the growth and positive direction of our projects.
MAIN RESPONSIBILITIES
- Classify satellite image;
- Map canopy cover;
- Monitor soil moisture.
REQUIRED SKILLS & QUALIFICATIONS
- You have proven expertise in remote sensing data processing and geo-information systems;
- You have sound programming skills in Python, or R, or Google Earth Engine;
- Expertise in applying machine learning techniques on remote sensing data is an asset;
- Specific expertise in SAR Remote Sensing is an asset;
- Writing and presentation skills in English is key;
- Ability to process, analyze, and model data in geospatial software (e.g., QGIS, Esri ArcGIS).
- Knowledge of satellite imagery.
- Proficiency in coding with Python (Jupyter notebooks, Anaconda), or R (raster and/or terra, RStudio), or Google Earth Engine.
- Experience in the use of geospatial technologies to forest mapping and monitoring.
- Excellent knowledge of Microsoft Word, Excel, and PowerPoint, working knowledge of Google Docs, working knowledge of Microsoft Exchange.
- Attention to detail and a sense of responsibility.
- Strong teamwork skills.
- Good communication in English (written and spoken) and interpersonal skills
- Willingness to learn.
- You have a strong interest in working in an international environment.
EDUCATION
Bachelor or Master student in Science, Engineering, Environmental studies or equivalent. Or professional certification in geography, GIS, or remote sensing.
OUR OFFER
- Be part of a motivated and highly skilled team in an international environment.
- Contribute to promoting Forest and Landscape Restoration.
- 3 months full-time internship, can be extended to 6 months.
- We provide a daily allowance to cover transport and food expenses.
