CIFOR-ICRAF
The remote sensing assistant’s primary responsibility is to support the production of high-quality, replicable, and scalable land use/cover products using desktop and cloud-based remote sensing platforms. The assistant will also contribute to adapting and extending features within the current codebase and workflow; this includes developing, testing, and documenting associated algorithms.
Collaborating closely with the Remote Sensing and GIS team and scientists from various fields, the assistant will help deliver high-quality land cover maps with transparent accuracy assessments.
Duties and responsibilities
- Select, collect, compile, and pre-process high-quality, time-series satellite imagery from reliable sources using desktop or cloud-based remote sensing engines.
- Support the development of rulesets/interpretation keys and image interpretation procedures for classifying land use/cover types in Indonesia using satellite imagery.
- Assist in performing replicable accuracy assessments and refining land use/cover data.
- Solicit and incorporate feedback from internal and external colleagues to improve land use/cover classification accuracy.
- Assist in conducting land use/cover change analysis and other related LULC analytical tasks as required.
- Contribute to the development of case studies on the application of land use/cover maps.
- Assist in planning field surveys and organising the collected data for model training, validation, and accuracy assessment.
- Contribute to documenting all technical procedures for image classification, including code annotation, within version-controlled notebooks.
- Assist in organising spatial datasets into a database system.
Education, knowledge and experience
A bachelor’s degree in a relevant Science, Technology, Engineering, or Mathematics (STEM) field, including but not limited to Geomatics Engineering, Computer Engineering, Earth Sciences.
• A thesis or final project utilising desktop or cloud-based remote sensing platforms is a plus. Course completions related to cloud-based remote sensing platforms (e.g., Google Earth Engine) are highly valued.
• Two years of experience supporting remote sensing projects using cloud-based platforms is preferred. However, recent graduates with experience using cloud-based remote sensing platforms during their BSc are encouraged to apply.
• Proficient in written and spoken English is essential.
• A strong understanding of remote sensing principles and their practical application is required, encompassing knowledge of various sensors, pre-processing methods, data fusion techniques, hierarchical classification, Object-Based Image Analysis (OBIA), and accuracy assessment methodologies.
• Hands-on expertise assisting with projects using Google Earth Engine (GEE) or similar platforms. Specific examples of contributions to land cover mapping, land-use change monitoring, or other relevant applications are highly beneficial.
• Demonstrated ability to effectively manage and process remote sensing datasets within desktop environments (e.g., eCognition, ENVI, ERDAS Imagine) and cloud platforms (e.g., Google Earth Engine, Microsoft Planetary Computer), including a strong understanding of data structures, formats, and pre-processing techniques.
• Experience in programming and scripting languages commonly used within Google Earth Engine, such as JavaScript and Python, is preferred.
• Proficiency in using version control systems (e.g., Git) is highly desirable. Evidence of past contributions to shared repositories like GitHub or GitLab would be a significant asset.
Terms and conditions
This is a Temporary Staff position. CIFOR-ICRAF offers competitive remuneration in local currency, commensurate with skills and experience.
• The appointment will be for 6 (six) months with the possibility of extension contingent upon performance, continued relevance of the position and available resources.
• The duty station will be in Bogor, Indonesia.
To apply, please visit our career site at:
https://www.cifor-icraf.org/about/work-with-us/
To learn more about CIFOR-ICRAF, please visit our websites at:
https://www.cifor-icraf.org
CIFOR-ICRAF promotes Gender Diversity – Applications from women professionals are encouraged.
CIFOR-ICRAF is an equal opportunity employer. It fosters a multicultural work environment that values gender equality, teamwork, and respect for diversity.