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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.
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
Requirements for the ideal candidate
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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