German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany
Posted: Sept. 4, 2018
The DFD department “Land Surface Dynamics” quantifies global environmental change and analyses the drivers of change processes.
The vacant PhD position sets a methodological focus in the context of future projections of already detected trends. This work has a close interface to modeling. The aim of the PhD project is not only to analyze the state of the last decades, to derive trends and to present the current state (numerous multi-decadal, time series-based global geoinformation products are available in the department), but also to forecast for a few years into the future (e.g. “If settlement growth continues as derived from the World Settlement Footprint since 1985, then the largest cities on the planet will continue to develop along the following vectors in a 360° radius as follows…”, “Based on the detected trends of primary deforestation in the last large rainforest areas of the world, the vectors of deforestation will move in the following directions over the next 5 years…”). It is a methodically focused doctoral thesis, which is not about a concrete application case, but about different possibilities of spatial predictions based on EO data.
- very good Master’s degree in a geoscientific, information technology or mathematical-physical field with good statistical knowledge
- experience in the automated analysis of earth observation data or other extensive image data archive
- good programming skills in Python
- optimally, experience with time series of remote sensing data and products
- practical experience in working with remote sensing and geodata
- strong team spirit and enjoying work in an international team