PhD Position “Deep Learning for Mapping Glacier Areas, Surface Characteristics and Mass Balance”
ITC Faculty, University of Twente
Job Description: The PhD research activity aims to design deep learning methods to automatically analyze temporal series of remotely sensed data and map glacier area, glacier surface characteristics, and infer glacier mass balance. The PhD candidate will take advantage of the latest developments in convolutional neural networks to design deep architectures capable of fusing optical and SAR data for glacier facies analysis within the same network. Combining multiple data sources within a big geodata analysis framework, the candidate will design a deep learning approach to infer the glacier mass change.