UNDP International Research Fellow – Artificial Intelligence || Apply Now |

The UNDP Seoul Policy Centre’s SDG Partnership support for ‘Statistical Capacity Building for Sustainable Development’ will be leveraged by UNDP Mongolia to build the AI capacity of the National Statistics Office (NSO) of Mongolia, particularly for poverty analysis. The International Research Fellow will play a pivotal role in supporting this initiative by integrating AI into Mongolia’s multidimensional poverty index (MPI) framework and enhancing the efficiency of census and population projection processes.

Duties and Responsibilities of International Research

1.    Integration of AI into Statistical Processes
•    Pilot AI tools for data compilation and analysis, leveraging Korea National Statistical Office (KOSTAT)’s experience in AI-based statistical production pipelines.
•    Assist in the development of AI-driven solutions, such as chatbots, to improve respondent engagement and data collection processes.

2.    Capacity Building and Knowledge Transfer
•    Support the delivery of workshops and knowledge-sharing sessions on KOSTAT’s AI frameworks.
•    Contribute to the development of the Mongolia-KOSTAT AI Playbook, outlining replicable workflows, methodologies for data validation, and key challenges and solutions.

3.    Enhancement of MPI and Policy Integration
•    Integrate AI and machine learning technologies to automate statistical systems and enhance the granularity of Mongolia’s National Multidimensional Poverty Index MPI.
•    Support NSO and policymakers in utilizing AI-enhanced MPI data to inform the design of targeted development programs, including resilient infrastructure and economic diversification strategies.
•    Promote the use of MPI as an analytical and policy-making tool among the government, UNDP, UN agencies, and development partners.

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Required Skills and Experience

Education:

• Advanced university degree (Master’s degree or higher) in Data science, Statistics, Computer science, Artificial Intelligence, Machine learning, Economics or closely related fields combined with relevant field work experience.

Experience:

• Minimum 2 years of professional experience in artificial intelligence, data collection, analysis, machine learning, and digital innovation
• Experience working in large-scale statistical projects is highly desired
• Proven expertise in reviewing and analyzing complex datasets, surveys, and methodologies.
• Experience in advanced AI technologies such as Generative AI and Generative models, Natural Language processing such as Transformer models, Deep learning of Neural networks, and Edge AI models is highly desirable.
• Proven track record in enhancing organizational capacity through effective knowledge transfer.

IT skills:
•    Proficiency in Microsoft Office tools
•    Advanced data analysis and visualization capabilities using tools such as Power BI, Tableau, R, and Python.

Language skills:
•    Fluency in English is required.

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