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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Post Doctoral Scientist - Soil and Manure Nutrient Cycling and GHG Emissions
Conduct soil nutrient and GHG measurements for different land use systems in sub-Saharan Africa (SSA) to detect emission hotspots and develop mitigation options;
Develop management interventions through laboratory and field experiements to reduce GHG emissions and nutrient losses (C, N, P) from livestock manure and improve its fertilizer quality;
Conduct measurements of nutrient cycling processes in soils and manure to understand the underlying drivers and controls;
Conduct household surveys to better understand current manure management and crop fertilizing practices as well as barriers and incentives for improvement;
Operate and manage laboratory and field facilities, specifically manual and automatic soil GHG flux chambers, laser absorption spectrometers included in various setups (e.g., manure incubation chambers, soil flux chambers) to quantify GHG emissions from soil and manure;
Perform quality control and statistical analysis of the collected data;
Write scientific papers and prepare conference presentations; contribute to other communication products (research briefs, policy briefs, stakeholder meetings etc.);
Co-supervise PhD and MSc students and guide research technicians;
Develop innovative concepts and ideas for further research (including proposal writing) to address environmental aspects of agricultural productions systems that do not compromise food security.
Perform any other related duties as may be assigned
Requirements
PhD in biogeochemistry, agronomy, geo-ecology, environmental sciences, soil science, or related fields
Good understanding of carbon and nitrogen cycling processes and their controls in natural and/or agroecosystems
Considerable practical knowledge of techniques and experience with equipment used in the measurement of GHG emissions from terrestrial ecosystems
Ability to effectively manage, visualize and analyze (statistics) large datasets using standard programming languages (i.e., R, python, Matlab, etc.)
Excellent spoken and written English
Proven track record of scientific writing as first and/or corresponding author
Knowledge of agricultural production systems in developing and/or developed countries is an asset
Knowledge of chemical analysis of environmental samples (soil, manure, water) is an asset
Experience with NH3 measurements is an asset
Experience in doing household surveys using the ODK platform is an asset
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