Funded PhD Position in Spatial/Environmental Informatics

As part of the new NSF-funded research “INSPIRES”, we’re looking for a PhD student that will work in the broad theme of Environmental Informatics, bringing together semantic and statistical, data-driven methods to understand spatial, temporal and spatio-temporal patterns in forest data.

The ideal candidate holds a Masters’s degree in a related discipline (e.g. Computer Science, Mathematics, Geography) and an interest in theoretical aspects of semantics/ontologies, geostatistics, and/or data mining with applications to forestry or other environmental data. Good communication skills, a solid mathematical background (with at least basic familiarity with logic, ontologies and/or statistics), and a willingness to work in a team are a must.

More information about the PhD program in Spatial Information Science and Engineering:

For further information about the specific position, please contact Torsten Hahmann