PhD in agriculture/environmental sciences/computer/geospatial sciences with over 7 years of experience in the capacity of technical project/program management and leading solution architecture development for large complex distributed systems.
Experience in technical management roles is desirable as well as a degree in Business Administration.
Proven practical ability to design, develop and deploy digital innovations and/or machine-augmented intelligence solutions for crop-livestock and pastoral systems. Working knowledge of Generative AI and computational social sciences an advantage.
Track record of writing and publishing scientific papers, as well as preparing and delivering presentations for conferences, workshops, and stakeholder engagements.
Experience in creating communication products such as research and policy briefs that highlight the potential as well as pitfalls of digitalization of agriculture and livestock systems.
Experience in grant and proposal writing, engaging with donors and stakeholders, and mobilizing resources to support ILRI's agenda.
Demonstrable experience in collaborating and sharing results with an interdisciplinary research team, encompassing fields such as climate science, livestock productivity, crop and soil management, socioeconomics, and gender studies.
Experience in co-supervising students and providing mentorship to research technicians involved in data collection, field studies, and analysis.
Deep understanding of resource poor, smallholder farming systems in developing countries, particularly within semi-arid and tropical regions, with a focus on climate adaptation and resilience.
Prior work experience in Africa and or Asia, and a demonstrated understanding of the agricultural and environmental contexts of both.
Demonstrated experience of active collaboration or past work and understanding of private sector business models as well as ways of working is an added advantage.
Bilingual in English and French. Working knowledge of African languages is an added advantage.
GK
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