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  • Posted: Aug 23, 2023
    Deadline: Aug 29, 2023
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    The International Livestock Research Institute (ILRI) works to improve food security and reduce poverty in developing countries through research for better and more sustainable use of livestock. ILRI is a CGIAR research centre - part of a global research partnership for a food-secure future.
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    Research Officer II GIS

    Key Responsibilities  

    Purpose

    • Map climate vulnerability indicators and other abiotic risks with satellite image time series and GIS datasets;
    • Geospatial modelling of suitability sites and patterns for climate smart agricultural technologies; 
    • Map crop area and yield, cropping system, intensification and diversification models using satellite or drone data and crop models,  develop methods for assessment of climate-driven production losses;
    • Apply rice area/yield data to climate derisking and financial resilience activities, e.g. crop insurance in context of extreme climatic  events;
    • Development of precision agriculture approach including nutrient/water stresses, weeds and diseases mapping and control;
    • Facilitate the execution and implementation of additional planned Geospatial activities in close coordination with the supervision team, local National partners and other stakeholders.

    Engagement

    • Acquire and process remotely sensed time series to extract information from multiple sensors (optical, SAR) and platform;
    • Coordinate and implement field data collection campaigns; develop innovation field – drone approach for model calibration and validation;
    • Organize and maintain project database, including field data, imagery, and geospatial datasets; ensure quality data quality control;
    • Analyze the datasets, and contribute to the writing of reports, research papers and other communication material
    • Work closely with project team members to ensure full understanding of the scope, priorities, and deadlines of the activities;
    • Assist project leaders and/or collaborating partners to define the scope of research activities;
    • Collaborate with scientists at IRRI, collaborating research institutes, and the private sector to develop new research products;
    • Inform the immediate supervisor on the development of activities, image processing, and geospatial based activities.

    Delivery

    • Ensure timely delivery of processed geospatial datasets and products;
    • Collect, store and curate data generated from the analytics; ensure the generation of quality field datasets;
    • Ensure the timely completion of high-quality research deliverables;
    • Communicate research results and new ideas in a broad array of outlets, including peer-reviewed journals, mass media, policy fora as well as national and international scientific conferences ;
    • Any other tasks as assigned by Supervisor and supervision team.

    Requirements

    • Master’s degree in Geospatial Science, Agriculture, Geography, Environmental Science, or other related discipline with at least 5 years’ relevant research experience in Remote Sensing and GIS in agriculture;  
    • Sound capabilities in acquiring, processing, and analysing a range of remotely sensed datasets, including multispectral, hyperspectral and synthetic aperture radar imagery, satellite and airborne imagery;
    • Experience in crop types mapping, vegetation phenology, cropping system mapping, database management and data curation, data quality insurance;
    • Proven knowledge of field data collection (including protocol development);
    • Experience in publishing research papers and writing reports;
    • Good working knowledge of remote sensing and GIS software, database and software such as ERDAS, ENVI and e-Cognition and drone image processing tools like Pix4D, Agisoft and other open source package;
    • Substantial experience in scripting/programming languages such as R and Google Earth Engine, python, etc;
    • Experience in flying drones;
    • Experience of any of statistical analysis packages and logical development development of models;
    • Experience working with large team and different disciplines;
    • Experience with working on multiple remote sensing datasets like satellite & drone images;
    • Knowledge of agricultural systems is a plus;

    Method of Application

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