PhD studentship: Quantitative exploitation of distributed environmental measurements in high-mountain areas
Surface processes in cold mountains are laterally highly variable and often investigated using spatially-distributed measurements and models. However, the full exploitation of distributed environmental measurements and models is often hindered by imperfect data (measurement errors, gaps, changing protocols, spatial autocorrelation effects) and a lack of methods and tools.
Within the NCCR-MICS (www.mics.org) project PermaSense, this PhD candidate will also be responsible for the conceptual design of the data management backend (based on existing SwissExperiment infrastructure) and interface with project partners at the ETH Zurich, the EPF Lausanne and the University of Basel.
More info here.
