About the role
We are seeking a geospatial analyst to support in developing a novel framework to quantify water supply and demand in multiple catchments. We welcome applications from those seeking both part- and full time positions.
About us
We are developing a framework for valuing water that draws on new and emerging datasets, including geospatial (satellite) imagery. A mission driven organisation, we are motivated by the opportunity that water security presents in achieving improved sustainable development outcomes, particularly to marginalised communities. An early stage company, we benefit from close relationships with the University of Oxford’s School of Geography and the Environment, as well as the Smith School of Enterprise and the Environment. Our approach involves the use of satellite imagery, computer vision, geospatial modelling and machine learning, combined with in-situ measurement, existing datasets, and qualitative information to measure and project water supply, demand, quality and access. We aim to provide actionable insight to those governing, investing in and operating within water-scarce basins around the world.
You will need
- A good technical background to analyse geospatial data, including deriving spatial statistics using geoprocessing tools.
- Interest and ability to conduct assessments of water and environmental issues
Abilities
- Interpret and collect data from remote sensing third party applications, such as Global Water Watch and Dynamic World
- Produce maps and statistical visualisations to support product outputs
- Combine multiple datasets (biophysical and socioeconomic datasets) to develop indices
- Document and log development activity to support effective teamwork
Requirements
- Proficiency in GIS software such as ESRI ArcGIS Desktop 10.x, ArcGIS Server, ArcGIS Online, Quantum GIS, MapInfo or similar
- Familiarity with application development using Google Earth Engine
- Experience in spatial analysis and modelling (e.g., use of ArcGIS Spatial Analyst tools, Model Builder, Python scripting, SQL or equivalent)
- Experience in handling publicly available GIS datasets, crowd-sourcing platforms such as Open Street Maps and remote-sensing databases
- Familiarity with MODIS, Landsat, other satellite imagery products
- Knowledge of OGC standards
- Self-directed individual with an ability to work independently while involving other teammates
- Awareness of emerging geospatial research trends and technologies;
- Ability to explain your work to a non-technical audience and to collaborate in a team;
- Experience of water and environmental context within a geospatial context is a big bonus
Benefits
We offer a competitive salary and other benefits including pension, flexible hours, and a hybrid working environment.
