Result of Service
a) Develop a tailored curriculum for two onsite training programmes in China, in collaboration with MIIT and China Branch of the BRICS Institute of Future Networks.
b) Prepare a brief report (around 10 pages per country) by analysing the specific needs, challenges, and opportunities related to LLM and AI including technical analysis of the national AI and LLM architecture in four target countries.
c) Produce four draft country action plans by leading, coordinating and working with four country consultants focusing on how to utilize AI tools and LLM for improved public administration services.
Work Location
Remotely
Expected duration
8 months
Duties and Responsibilities
Under the China–ESCAP Cooperation Programme (CECP), a project has been developed with the objective of strengthening the capacity of government officials in Cambodia, Indonesia, Thailand and Uzbekistan to develop national action plans for utilizing Large Language Models (LLMs) in local languages to improve public administration services. The project is implemented by the Information and Communications Technology and Disaster Risk Reduction Division (IDD) of the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), with dissemination and regional knowledge sharing through relevant regional cooperation platforms, including the Asia-Pacific Information Superhighway (APIS).
Qualifications/special skills
Master's degree in one or more of the disciplines in Computer Science, Artificial Intelligence, Data Science, Information Technology, Public Policy, International Development, or a related field. Strong understanding of AI architecture, LLM deployment, and the technical challenges associated with local language adaptation/localization in public administration with no less than ten years of experience.
Languages
Excellent command of spoken and written English.
Additional Information
Not available.
