Job Description

Roles & Responsibilities

The Department of Security and Risk Management (DSRM) is investing in digital transformation across its security information management and operational functions, with a growing emphasis on geospatial capability and the responsible use of artificial intelligence. This internship supports that work by contributing to the development and support of GIS products and AI-assisted tools used across D/FSRM s five field offices. By the end of the placement, the intern will have gained practical experience in: Developing and supporting GIS products, spatial datasets and map-based analysis within a UN operational context Applying AI and automation tools to real security data and geospatial workflows Working within a humanitarian data management environment with complex operational requirements Under the supervision of the Security Information Analyst, the intern will: Support the development and maintenance of GIS products for D/FSRM, including spatial datasets, geodatabases, map-based visualisations and operational mapping outputs for the five field offices Support the agency s use of artificial intelligence by helping to integrate AI features such as natural language processing, automated classification and AI-assisted analysis into existing and new D/FSRM tools and geospatial products Contribute to the design and development of low-code applications (e.g. Power Apps and Dataverse) that support D/FSRM s GIS and data management needs Contribute to the documentation of system logic, data models and user guidance materials Support testing and iteration of tools with input from field users Assist with data visualisation and reporting tasks in Power BI where relevant Perform any other related tasks as assigned by the supervisor

Desired Candidate Profile

Applicants must be enrolled in or have recently graduated from (within one year) a Master's degree programme in a relevant field. Relevant fields include but are not limited to: Geographic Information Systems (GIS) or Geomatics Information Management or Information Systems Computer Science or Data Science A related technical or interdisciplinary field Demonstrated experience with GIS software and spatial data management (e.g. ArcGIS, QGIS) is a particular advantage. Familiarity with any of the following is desirable but not required: applied use of AI tools and large language models; Microsoft Power Platform (Power Apps, Power Automate, Power BI, Copilot Studio); or Dataverse.