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.

Responsibilities

The Research Assistant will:

• Support data ingestion, cleaning, and management of weather, soil, and agricultural datasets.
• Assist in analysis of climate data (e.g., rainfall, temperature, forecasts).
• Contribute to development and maintenance of platforms such as AgDataHub.
• Assist in benchmarking and validation of forecast products.
• Develop scripts and workflows (Python) for data processing and analysis.
• Liaise with national partners (e.g., meteorological agencies, research institutions).

Requirements

• Bachelor’s degree with a minimum of two years relevant experience in Computer Science, Applied Mathematics, Statistics, AI/ML, Data Science, or a closely related field.
• Proficiency in Python.
• Proficiency with Git/GitHub for version control and collaborative development.
• Experience with Linux/Unix environments and command-line tools.
• Experience applying deep learning (CNNs or similar) to geospatial or remote sensing data.
• Familiarity with cloud computing environments (AWS) and distributed data systems (Apache Druid).
• Strong analytical and written communication skills in English.
• Knowledge of French will be an added advantage

• Support data ingestion, cleaning, and management of weather, soil, and agricultural datasets.
• Assist in analysis of climate data (e.g., rainfall, temperature, forecasts).
• Contribute to development and maintenance of platforms such as AgDataHub.
• Assist in benchmarking and validation of forecast products.
• Develop scripts and workflows (Python) for data processing and analysis.
• Liaise with national partners (e.g., meteorological agencies, research institutions).

• Proficiency in Python
• Proficiency with Git/GitHub for version control and collaborative development
• Experience with Linux/Unix environments and command-line tools
• Experience applying deep learning (CNNs or similar) to geospatial or remote sensing data
• Familiarity with cloud computing environments (AWS) and distributed data systems (Apache Druid)
• Strong analytical and written communication skills in English
• Knowledge of French

• Bachelor’s degree with a minimum of two years relevant experience in Computer Science, Applied Mathematics, Statistics, AI/ML, Data Science, or a closely related field.