The Laboratory for Geo-information Science and Remote Sensing (GRS) at Wageningen University (NL) is offering one Postdoc position to perform three-year research on monitoring tropical forest dynamics and post-disturbance recovery capacity using big data approaches for optical and RADAR satellite data. Over the last years Europe has acquired some of the world's best Earth observation satellite sensors; the Sentinel satellites. They provide groundbreaking data that is driving a revolution in Earth Observation research and development. Sentinel satellites offer significant potential, as for the first time, dense RADAR (Sentinel-1), and optical (Sentinel-2) satellite image time series are available free-of-charge to support services and science better. We are looking into developing new approaches for rapid forest and land cover change detection. Knowing where and how disturbances impact forests enables us to study and explain post-disturbance recovery. The post-doc is expected to look into methods and approaches building upon dense remote sensing time series to quantify this and underpin the study of the resilience of and critical transitions in tropical forests under current rapidly changing world. The research is related to the context of the OpenEO project (www.openeo.org) and the Big-EO-Analytics project, and also be involved of supervision of two PhD students.
Resources and supervision:
The PD position is a full time three-year position at the GRS group at Wageningen University (NL) under the supervision of Associate Prof.Jan Verbesselt, in close collaboration and supervision with Prof. Martin Herold and Dr. Johannes Reiche. The candidate is also expected to spend some time at the Netherlands E-Science Center (https://www.esciencecenter.nl/) to work with high performance computing and data-infrastructures offered by SURF (https://www.surf.nl/).
We are looking for a motivated researcher with remote sensing, data science (deep learning, machine learning), or geoinformatics PhD degree, experience with handling large satellite data amount is required (MODIS, Landsat, Sentinel-1 and 2) via HDFS, Spark, Google Earth Engine approaches. Strong English skills are fundamental. Knowledge about Linux, programming skills (R, Python, C) to handle spatial data are favorable. Knowledge in tropical forest and its dynamics is an asset. Experience and motivation to learn new scripting languages in order to have fun with a lot of data is critical.
We offer a full time (38 hours/week) temporary position for a period of 3 years. Maximum salary amounts € 4084,- a month (gross, scale 10) based on full-time employment. Salary depends on relevant experience and knowledge.
Applications for this position should be submitted before 31 August 2018.