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.
