To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- Minimum PhD degree in Computational Geography, Spatial Data Science, Climate Modelling or Related Discipline.
- Strong geospatial programming skills in Python or similar languages, Google Earth Engine (GEE), with experience in geospatial libraries (e.g. Geopandas, GDAL) and visualisation libraries (Matplotlib, Seaborn, etc.).
- Familiarity with AI/ML techniques such as Neural Network and Deep Learning to disaster risk analysis / flood modelling / land subsidence modelling.
- Familiarity with predictive and scenario modelling for geospatial data applied to flood risk and vulnerability modelling.
Proficiency in writing and verbally communicating in English.
https://www.kcl.ac.uk/jobs/099826-post-doctoral-research-associate