Senior Spatial Statistician: Population and Mobility Modelling

Flowminder produces privacy-safe, aggregated population and mobility statistics from mobile network operator (MNO) data for governments, UN agencies and humanitarian partners in low- and middle-income countries. The mobile phone data are anonymised and processed inside the operator's secure environment, and no individual-level data is shared. We are looking for a spatial statistician to work on the next generation of these estimates based on projects in collaboration with the Gates Foundation and Google.

The post holder will work on two areas in collaboration with the team:

• Modelled estimates (within radio coverage): downscale MNO-derived mobility and population estimates to high spatial resolution, with quantified uncertainty, by combining them with census, household survey, satellite, building-footprint and other spatial data sets.
• Modelled estimates (outside radio coverage): build statistical models that predict population presence and movement in areas the network does not reach, so estimates cover whole countries rather than only covered areas.

This is a highly specialised technical role. Most of the postholder's time goes on developing, validating and applying statistical methods, and they will be our reference point for spatial population modelling.

If you also have experience leading projects independently, comparable to a World Bank Task Team Leader, we are interested. We are open to discussing how the role could be extended to include project leadership, with remuneration adjusted accordingly.

The immediate applications are our work with Google on polio eradication and vaccination planning in the Democratic Republic of the Congo, where reaching mobile and under-served populations depends on knowing where people are and how they move.

Full information and how to apply at:

https://www.flowminder.org/about-us/work-with-us/senior-spatial-statistician

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