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  • Posted: Oct 11, 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 Graduate Fellowship

    Job Description

    The Position:

    This project seeks to recruit an ambitious PhD researcher to analyse and compare science-policy engagement practices and processes concerning climate change adaptation and mitigation in the region’s diverse livestock systems across three East African countries. The candidate should expect to analyse existing policy frameworks and dynamics, barriers and enabling factors for integrating climate change research into policies and strategies, efficacy of science communication and engagement strategies, and transformation of scientific inputs through their integration into policy processes.

    ILRI Program: Sustainable Livestock Systems

    Responsibilities of the fellow

    • To determine the existing policy frameworks for climate change within the east African countries;
    • To determine the efficacy of science communication and engagement strategies within the project;
    • To collect, compile and analyse data;
    • To communicate the gained findings to project team and other stakeholders;
    • Write scientific papers and prepare conference/workshop presentations describing results and their implications;
    • Develop new concepts and ideas for further research;
    • Make presentations at meetings as may be required

    Requirements for the ideal candidate

    • Should have MSc in qualitative social sciences (such as science and technology studies, geography, sociology or political science); 
    • Should already be enrolled in an accredited PhD programme and prepared to begin fieldwork soon; 
    • Should be conversant with UNFCCC processes in developing countries;
    • Must have some knowledge of the adaptation and mitigation literature in lower-income countries;
    • Experience in handling of diverse datasets, data processing and statistical software such as R, SPSS, Matlab or python;
    • Ability to work in a multinational team of scientists and technicians from other disciplines;
    • Have excellent communication skills.

    Method of Application

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