National Consultant

International Rice Research Institute

New Delhi, India

The International Rice Research Institute (IRRI) is dedicated to reducing poverty and hunger through rice science; improving the health and welfare of rice farmers and consumers; and protecting the rice-growing environment for future generations. IRRI is an independent, nonprofit, research and educational institute, founded in 1960 by the Ford and Rockefeller foundations with support from the Philippine government.
The institute, headquartered in Los Baños, Philippines, has offices in 17 rice-growing countries in Asia and Africa, and over 1,000 staff. Working with in-country partners, IRRI develops advanced rice varieties that yield more grain and better withstand pests and disease as well as flooding, drought, and other harmful effects of climate change.
This position is required for field visits in Bihar and must only be filled by the permanent residents of India.
This position requires coordination with the ‘dynAG’ cohort team for agricultural research, data collection and analysis that will help in the development of the API and its piloting.
Responsibilities:
  • Coordinate with the dynAg cohort team to ensure the progress of the project
  • Technical support on the use of AI systems to develop large language models, sentimental analysis etc
  • Support in coordinating for language data collection & analysis, monitoring
  • Support in testing and validating the dynAg advisories, integrating the stakeholders’ feedback into information logic
  • Support in user engagement and piloting dynAg
Key outputs & deliverables:
  • Accurate agricultural language data
  • Policy Briefs
  • Manuscripts for submission to journals
Qualifications:
  • Master’s Degree in computer engineering or related field with specialization in AI systems or big data or other related disciplines with 5 years of relevant experience
  • OR
  • Ph.D. in computer science or related field with 1 year of relevant experience
Skills Required:
  • Analytical and Research Skills on AI systems, language models
  • Good networking and advocacy skills
  • Research report writing skills