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  • Posted: Sep 10, 2025
    Deadline: Not specified
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  • The World Agroforestry Centre, is an international institute headquartered in Nairobi, Kenya, and founded in 1978. The Centre specializes in the sustainable management, protection and regulation of tropical rainforest and natural reserves.
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    Spacial Data Scientist- Remote Sensing

    Duties and responsibilities

    Spatial data science

    • Optical data processing and analysis, including from sensors such as Sentinel 2 and Landsat 8/9.
    • SAR data processing and analysis, primarily Sentinel 1.
    • Timeseries analysis, including detection of trends and anomalies in temporal data (vegetation, precipitation, land surface temperatures, etc)
    • Predictive modeling of time series data, including forecasting where relevant.
    • Applications of machine learning for predictive modeling and mapping of indicators relevant to assessment of ecosystem health using a combination of field data and remote sensing.
    • Spatial data analysis tasks, including spatial queries, vector data extraction, processing, and cleaning.
    • General data analysis and report writing.
    • Supervise a team of junior spatial data scientists and developers.
    • Develop communication products/outputs where relevant.

    Capacity development

    • Lead internal capacity development seminars within CIFOR-ICRAF.
    • Capacity development of partners and stakeholders through workshops as part of projects with particular emphasis on spatial data processing and modeling.

    Stakeholder engagement

    • Work closely with the CIFOR-ICRAF stakeholder engagement team (SHARED) to provide analytical outputs that feed into project delivery, for example monitoring outputs as part of the Great Green Wall.
    • Contribute to stakeholder engagement events as part of the development of decision support tools and platforms.

    Various other tasks

    • Contribute to micro-dashboard development as part of the Global Resilience Impact Tracker platform
    • Support projects and programs with analytical support and stakeholder engagement with decision makers.
    • Lead and/or contribute to scientific papers.
    • Contribute to proposal development and writing.

    Requirements

    Education, knowledge and experience

    • MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
    • Excellent interpersonal skills.
    • Excellent written and spoken English.
    • Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified? Go to World Agroforestry Centre (ICRAF) on www.cifor-icraf.org to apply

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