IAEA Data Analysis Internship 2023

The IAEA accepts a limited number of interns each year and now accepting applications for data analysis interns for the 2023 cohort. The purpose of the programme is:

• To provide interns with the opportunity to gain practical work experience in line with their studies or interests, and expose them to the work of the IAEA and the United Nations as a whole.
• To benefit the IAEA’s programmes through the assistance of qualified students specialized in various professional fields.

Widely known as the world’s “Atoms for Peace and Development” organization within the United Nations family, the IAEA is the international centre for cooperation in the nuclear field. The Agency works with its Member States and multiple partners worldwide to promote the safe, secure and peaceful use of nuclear technologies.

The Department of Nuclear Safety and Security (NS) formulates and implements the IAEA’s nuclear safety and security programme, which encompasses the Agency’s activities to protect people and the environment from radiation exposure and responds to the needs of its Member States related to nuclear safety and nuclear security.

The Division of Nuclear Security (NSNS) is responsible for establishing, coordinating and implementing the IAEA’s nuclear security programme to protect against, detect and respond to criminal acts or acts of nuclear terrorism and threats thereof.

The Programme Development and International Cooperation Section (PDIC) provides support to the overall planning and coordination of the work of the Division including responsibility for and management of the Nuclear Security Fund, the evaluation of results, and financial matters; and interaction with and reporting to donors.

Selected interns will be assigned to the following duties:

• Assist Programme, Budget and Reporting Unit with the development and maintenance of dashboards and other forms of data visualization.
• Identify valuable data sources and automate collection processes.
  Research and document knowledge management practices and guidance related to data collection and storage.
• Contribute to the Unit’s effectiveness by data cleaning from primary or secondary sources.
• Provide technical support for existing accounts, dashboards, or other tools;
  Identify and analyse errors and inconsistencies in data and proposes timely resolutions.