Title Statistics Intern for Seasonal Outlook Geostatistical Analysis
Duration 2 months
Duty station Jakarta
The World Food Programme (WFP) is the world’s largest humanitarian agency fighting hunger worldwide. One of the key components of WFP’s work is to understand the food security situation of the population through cutting-edge vulnerability analysis and mapping (VAM). Mapping, remote sensing and geographic analysis has always been one of the corner stone of food security (VAM) analysis unit in WFP.
Remote sensing data and analysis, is pivotal for realising the effects of climate on food security, in and out of a disaster context. Understanding the wide range of available datasets, and setting up methodologies and systems to readily analyse these datasets will enhance emergency preparedness in the country, and ultimately minimize the impact of hydro-meteorological disasters on population.
In 2019, WFP Indonesia aims to mitigate the impact of drought and floods through technical assistance to the Government of Indonesia in integrating early warning, preparedness and response mechanisms. Working with partners in the Government, WFP will pilot a project intended (1) customize and test the early warning alerts for hydro-meteorological disasters, and 2) connect EWS to decision-making tools for preparedness and response options. This project aims to help the Government of Indonesia ensure that the people responsible for preparing for disasters have:
- as much warning as possible to potential disasters, and up-to-date information on their likely impact;
- a tool that helps them determine the most effective actions to minimize the loss and damage;
- clear procedures for transmitting actionable information to individuals, communities and authorities on the ground.
With a view of the enhance emergency preparedness, the methodology needs to be adjusted to local context, ensuring accuracy of the alters.
The overall objective of this internship is to revise the early warning methodology, focusing on weather extremes and hydro-meteorological disasters, ensuring it is scientifically sound, addresses multiple aspects of impact on population (including agricultural and socio-economic impacts), and provides meaningful information and insights for government responses.
The intern will review the existing methodology applied at national level, relevant and available data sources to propose a methodology at sub-national level. She/he will also provide review of the currently used the methodology and suggestions for further improving the analysis.
Responsibilities and deliverables
Under the overall guidance and direct supervision of the Head of VAM Indonesia, and technical supervision of the GIS Officer, the incumbent will undertake the following activities:
- Support the development and testing of methodology for seasonal outlooks for floods, drought and landslide at national and sub-national level, which includes the associated impact on population (food security, crops, socio-economic), at all stages, from conceptual development, to acquisitions and processing of data, analysis;
- Support the development and testing of methodology for short-term early warning alerts for floods, drought and landslide, which includes the associated impact on population (food security, crops, socio-economic), at all stages, from conceptual development, to acquisitions and processing of data, analysis;
- Identify and collect relevant and available datasets for seasonal outlooks and short-term early warning alerts;
Minimum qualifications and experience required
- Currently enrolled in undergraduate or graduate-level degree program as a full-time student such as in applied meteorology, agro-climatology, statistics, environmental and soil science or in a related subject;
- General knowledge of climate risk to food security, geo-statistics, and vulnerability analysis;
- Knowledge of main GIS and remote sensing software, proprietary and open-source softwares knowledge is an asset;
- Scientific programming skills desirable: Knowledge of ArcPy, python, RStatistics + RStudio, GDAL for GIS workflow automation;
- Strong ability with Microsoft Word and Excel, and SOLVER add-in for Excel knowledge is an asset;
- Writing and communication skills in English;