Overview
The intern will support the Population Dynamics, Data, & Policy unit in research and evidence generation on population dynamics and sustainable development in West and Central Africa, providing technical support for geospatial data needs across UNFPA's mandate.
Key Responsibilities
- Develop and implement geospatial databases, collection systems, and analytics.
- Identify, analyze, and interpret trends or patterns using machine learning and statistical methods.
- Develop new approaches for geospatial data management, interpretation, analysis, and utilization, including generating population estimates.
- Create online databases, dynamic web maps, and visualization dashboards.
- Lead geospatial analysis such as mapping access to sexual and reproductive health services.
- Generate semi-auto tools, models, and code packages to automate analytical processes.
- Prepare and contribute to statistical tables, maps, and annexes for reports and briefing notes.
- Research and conduct geospatial analysis for a global population database on climate change exposure and vulnerability.
- Compile and analyze background documentation and prepare briefing notes.
- Contribute technical support for the population data portal.
Qualifications
- Be enrolled in a postgraduate degree programme (such as a master’s programme, or higher).
- Have recently graduated with a university degree (as defined above) and, if selected, must start the internship within one-year of graduation.
- Be enrolled in a postgraduate professional traineeship program and undertake the internship as part of this program.
- Preferred field of study: Geoinformatics (geomatics), geospatial information, Earth sciences, environmental science, remote sensing, or other related geoscience field.
- Technical knowledge of population dynamics and their relationship to sustainable development.
- Knowledge of application of GIS to areas of UNFPA mandate (sexual and reproductive health, family planning, gender-based violence and harmful practices).
- Knowledge of data processing and analysis software (e.g., R, Python, or Stata).
- Strong analytical thinking and attention to detail.
