Internship - Isotope Hydrology Research, Multi-tracer Application

Organizational Context

The Department of Nuclear Sciences and Applications, within the IAEA, focuses on enhancing Member States' capacity to meet basic human needs and manage environments using nuclear and isotopic techniques. The Division of Physical and Chemical Sciences specifically supports research and development in nuclear sciences, including isotope hydrology and geochemistry, contributing to sustainable development programmes.

Job Purpose

This internship aims to support research on multi-tracer applications in freshwater systems. The intern will gain practical experience and training in utilizing water isotopes and other tracers to study hydrological changes. Key activities include data management, interpretation, statistical analysis, and reporting. The role also involves data visualization using geospatial software like ArcGIS and QGIS, contributing to a deeper understanding of water systems and enhancing scientific communication through visual representations.

Responsibilities

The intern will contribute to team discussions on multi-tracer applications and systematically document procedures, methods, and findings for reports and publications. Responsibilities include performing statistical analysis on isotopic data using tools such as R or Python for modeling and analysis. The role involves summarizing findings in reports and creating visual representations, including maps of surface and groundwater flow patterns using ArcGIS and QGIS. Additionally, the intern will develop visual tools to illustrate tracer data distribution and generate dynamic visualizations for presentations and publications.

Work Experience

While specific work experience is not detailed, the internship is designed for individuals pursuing or recently awarded a university degree in relevant scientific fields. The focus is on providing practical experience and training in hydrological research and data analysis.

Skills

Proficiency in data management, interpretation, and statistical analysis using software like R or Python. Experience with geospatial software, specifically ArcGIS and QGIS, for data visualization and mapping. Strong written and spoken English is essential. Fluency in another IAEA official language is an asset.

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