The International Livestock Research Institute (ILRI) works to improve food and nutritional security and reduce poverty in developing countries through research for efficient, safe, and sustainable use of livestock. ILRI seeks to recruit a consultant to carry out a biophysical assessment using the Geofarmer and CSA Farm Calculator App, to monitor the uptake of the biophysical components of CSA practices in the CSVs in Ethiopia.
The consultant will be expected to carry out the following tasks:
- Familiarize with the CSA Monitoring framework and ICT-based data collection tool (Geofarmer and CSA Farm Calculator App) and provide feedback for tailoring the CSA Monitoring framework and ICT-based data collection tool developed by CCAFS Flagship Program on climate-smart technologies and practices to the Doyogena and Basona Worena CSVs context-specific conditions
- Identify the key CSA practices tested and promoted in the sites and update the glossary of CSA practices in both the Doyogena and Basona Worena CSVs, that will be fed into the Geofarmer and CSA Farm Calculator App
- Work closely with CCAFS, Alliance of Bioversity International and CIAT and partners to identify farmers to be interviewed, including the sample size in interventions and non-intervention (control) sites
- Work with the CCAFS fieldwork team to train enumerators and oversee biophysical data collection including quality control
- Undertake biophysical component data analysis, writing of scientific reports and manuscripts working closely with CCAFS and Alliance of Bioversity International, and CIAT.
Essential skills and qualifications
- D. in Soil Science, Agronomy or closely related field
- At least 2 years of post-doctoral experience
- Strong knowledge in climate change and fieldwork experience in Climate-Smart Agriculture
- Knowledge of Ethiopian landscapes and farming systems
- Experience in data collection using ICT and knowledge of a suite of statistical packages and experience in data analysis of large data sets
- Background and training in soil science, agronomy, climate change, and variability, with a proven hands-on understanding of the agronomic data