Data Collection and Analysis Expert

Job Posting: 09/Jan/2025

Closure Date: 23/Jan/2025, 4:59:00 PM

Organizational Unit: FAVIE

Job Type: Non-staff opportunities

Type of Requisition: PSA (Personal Services Agreement)

Grade Level: N/A

Primary Location: Viet Nam-Hanoi

Duration: 60 working days, up to 31 December 2025

Post Number: N/A

**IMPORTANT NOTICE: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device**
- FAO seeks gender, geographical and linguistic diversity in order to best serve FAO Members in all regions._
- **FAO is committed to achieving workforce diversity in terms of gender, nationality, background and culture**:

- **Qualified female applicants, qualified nationals of non-and under-represented Members and person with disabilities are encouraged to apply**:

- **Everyone who works for FAO is required to adhere to the highest standards of integrity and professional conduct, and to uphold FAO's values**:

- **FAO, as a Specialized Agency of the United Nations, has a zero-tolerance policy for conduct that is incompatible with its status, objectives and mandate, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination**:
**Organizational Setting**

The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations that leads international efforts to defeat hunger. FAO's goal is to achieve food security for all and ensure that people have regular access to enough high-quality food to lead active, healthy lives. With 195 members - 194 countries and the European Union, FAO works in over 130 countries worldwide and has started working in Viet Nam since 1978 with its Representation (Country Office) opened in Ha Noi.

The Technical Cooperation Programme (TCP) is part of FAO’s regular assistance to the Government of Viet Nam, allowing FAO to respond to the country’s most pressing needs for technical assistance. For the 2024-2025 biennium, FAO Viet Nam, with support from the Ministry of Agriculture and Rural Development (MARD), is implementing the project “Drought impact assessment Central Highlands, Viet Nam” in collaboration with the Department of Water Resources (DWR). The aim of the project is to provide MARD/DWR with a tested working tool for agricultural drought impact assessment applicable at province level scale, through the use of FAO’s portal to monitor Water Productivity through Open-access of Remotely sensed derived data (WaPOR), thereby strengthening the government’s capacity to monitor drought impact and enhance water security particularly in the Highland region. The project will commission high resolution (20m) water consumption and soil moisture products from the WaPOR across a 1,500 km2 trial block in drought affected districts of Dak Lak and Dak Nong Provinces for analysis by the team. The project will prepare a baseline assessment of the trial block area and a Feasibility report for province level implementation of an operational system for agricultural drought risk assessment using WaPOR Level 3 data.

**Reporting Lines**

The incumbent is put under the overall supervision by the FAO Representative, technical supervision by the Lead Technical Officer in FAO-RAP, and day-to-day management by Assistant FAO Representative (Programme).

**Technical Focus**

**Tasks and responsibilities**
- Under supervision of the Team Leader, prepare data sets for land use and agricultural production across the trial block area. The data sets are expected to underpin the baseline assessment of the block area which will comprise of:

- Literature review of existing research and reports on water scarcity in the region.
- GIS mapping of water resources and usage patterns
- Collection and analysis of relevant operational data over at least 5 consecutive water years for three representative irrigation schemes within the trial block
- Collection of landcover data for irrigated and rainfed agricultural land derived from existing statistical records and trained satellite observations
- Review of water and energy usage data across economic sectors (agriculture, domestic, industrial) within irrigated and rainfed land disaggregated by gender
- Assessment of changing crop water demand and irrigation scheduling adjustments.
- Selection of drought risk indices to be derived from WaPOR level 3 variables, applicable at pixel level and for eventual quantification at the level of the trial block
- Undertake statistical analysis of publicly available meteorological and hydrological data for the trial block area.
- Participate in PyWaPOR (python coding for WaPOR) workshops and training/handover exercises conducted under and led by FAO technical services personnel.

**CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING**

**Minimum Requirements**
- High level academic degree (Masters or PhD) in Statistics, Environmental Science or related field;
- At least 15 years relevant experience with at least 5 years in statistics, scientific res