Intern – Artificial Intelligence

Under the direct supervision of the GEF Biodiversity Task Manager, the intern will assist the UNEP/GEF Biodiversity-Land degradation Unit in developing artificial intelligence based project and portfolio's monitoring tools and products to assist results oriented project delivery. More specifically, the internship will have the following tasks:

•  Assist in conducting research on emerging AI trends, tools, and best practices relevant to UNEP’s Project cycle management work.
• Support in preparation of internal papers, reports and/or presentations on these topics. Share findings with the rest of the unit. 3) Assist to explore and test emerging AI tools and approaches through quick, low-effort prototypes specifically contribute to the development and deployment of Microsoft Copilot Studio agents and related automation tools.
• Support in contribution of the development and refinement of a Prompt Catalogue to support effective use of generative AI.
• Assist in collaboration with other UNEP internal teams to identify practical use cases for AI tools and assess their feasibility through rapid testing.
• Support the organization and coordination of regular meetings, workshops, and webinars in designing the Unit’s AI based project monitoring systems.
• Assist by using AI produce short summaries / videos of how AI based monitoring tools can be used to aid unit staff in their work.
• Attend the meetings, trainings and conferences of relevance to UNEP in Geneva,
• Performing other relevant duties as assigned.

Qualifications/special skills

• Applicants must at the time of application meet one of the following requirements:
• Be enrolled in a graduate school programme (second university degree or equivalent, or higher) preferably in the area of a relevant domain and experience with AI tools or technologies is required: Please describe your experience working with AI tools or technologies. Include specific examples of projects, platforms, or tools you have used, and your role in those initiatives.
• Research and analysis skills is required : Have you conducted research or written reports on emerging technologies, digital trends, or AI-related topics?
• Be enrolled in the final academic year of a first university degree program (minimum Bachelor's level or equivalent);
• Have graduated with a university degree and, if selected. For this internship, any relevant academic and/or practical experience with data compilation, data analysis, data dissemination and visualization and/or mapping of numeric analysis is desirable.