Nov 13, 2017

Senior Statistician - projection model for unaccompanied and separated children

NGO/UN Job Vacancy

Organization: UN High Commissioner for Refugees
Closing date: 26 Nov 2017


UNHCR is seeking a statistical modelling expert to help us explore the question of how we might predict numbers of separated and unaccompanied children in displacement emergencies. This challenge was originally defined as part of the Measuring Separation in Emergencies (MSiE) Project. MSiE is an interagency initiative funded by the USAID Office of Foreign Disaster Assistance (OFDA) and coordinated by Save the Children in partnership with Columbia University, with UNHCR and other international organizations. The project’s overall aim was to strengthen emergency response programmes for unaccompanied and separated children/UASC through the development of practical, field-tested methods or tools to enhance the assessment of the scale and nature of separation in emergencies. As part of the MSiE, practitioners defined a need for evidence-based estimation of the scale of separation in the early post-emergency period (1-2 weeks).

After an extensive historical literature review of secondary data on separation and primary data available on UASC from institutional records (ICRC, UNHCR, MICS, DHS), it was concluded that additional analysis of more detailed datasets could potentially yield results for specific types of separation. UNHCR is now looking to take the next steps to develop a statistical model for separations in conflict-related displacement.

Purpose of the assignment

The main purpose of the assignment is to analyse UNHCR’s data on unaccompanied and separated children to create a statistical model for percentages of these children in conflict-related displacement flows.

The work will begin in December 2017 and must be completed by 31 January 2018. The successful applicant will be hired on a UNHCR consultancy contract and will be accountable to deliver a statistical model based on the data provided, and a report of the work delivered, explaining the process, limitations, and lessons learned and providing recommendations.

Specific tasks will include:

· Analyse datasets relating to separated and unaccompanied children from UNHCR’s registration database, as well as any related datasets as necessary.

· Develop a statistical model for predicting the percentage of unaccompanied children in conflict related displacement flows.

· Provide recommendations as to how this type of model could be further developed and integrated into UNHCR’s statistics and protection work. Liaise regularly with the Division of International Protection and the Division of Programme Support Management to provide updates on the project.

Qualifications required:

· Advanced university degree in statistics, demography, economics or other related social science area. PhD degree desirable

· Demonstrable experience in developing statistical models from population-based datasets.

· Excellent verbal and written communication skills.

· Fluency in English required.

How to apply:

Please send your CV and covering letter to by 26 November 2017.