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  • Posted: May 21, 2018
    Deadline: Not specified
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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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    PhD Fellowship: Machine learning to enhance communication with stakeholders

    The Position:

    The project aims to increase the impact of agricultural development by embracing big data approaches to solve development problems faster, better and at greater scale than before. This graduate fellow will work closely with the LD4D Community of Practice that brings together livestock and data modelers with project implementers and decision makers from industry, the public sector and NGOs to explore use of machine learning tools to understand and respond to queries from researchers and farmers as well as capture data in a flexible and unstructured way.

    Main Project Title: Modern mobile communication tools

    ILRI Program: Livestock Genetics

    CGIAR Research Program: Platform for Big Data in Agriculture & Livestock

    Graduate Fellow’s Project Title: Machine learning to enhance communication with stakeholders

    Responsibilities of the fellow

    • Work with teams of data specialists to develop and evaluate innovative tools
    • Develop, improve and maintain scripts to transfer data collected through mobile app/web based tools to databases
    • Data analysis
    • Coordinate stakeholder engagement/participation
    • Make presentations at meetings as required

    Requirements for the ideal candidate

    • MSc degree in computer science, mathematics or related course
    • Must have experience of coding with tools such as tensor flow
    • Must have good communication skills
    • Must have strong analytical skills
    • Must be a proactive and independent problem solver, and excellent team player.

    Location: Nairobi, Kenya

    Terms of appointment and stipend: Both ILRI and OWSD will offer a competitive stipend to cover living expenses in the project location, medical cover, air ticket, research expenses and tuition fees. The successful candidate will be supervised jointly by an ILRI scientist and the university/academic supervisor.

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