geomorphometry.org

Provide technical leadership in implementing a program in digital (predictive) soil mapping in support of regional, national and international efforts to produce gridded soil attribute maps of Canadian landscapes. The program will build on the use of existing legacy data within the Canadian Soil Information System using a variety of technologies and software. Applicants should have sound understanding of spatial analyses within the ARC GIS and SAGA geographic information systems, spatial statistics, DEMs, inference systems, and preferably experience with automated landform classification software. Experience in the use of soil data in biophysical process modeling would also be an asset. Work will be conducted within a team of pedologists to support AAFC contributions to the GlobalSoilMap.net and related projects and assist with internal training in DSM technologies and techniques. The incumbent will be expected to present results to scientific conferences/workshops and to contribute to publishing results in journal and technical bulletins.

The postdoc should focus on problems in relation to computationally efficient use of modern detailed massive topographic data in various global-change-relevant modeling applications. These problems include the computation of fine-resolution topography-derived variables on a global scale, as well as applications such as global- and local-scale flooding scenario modeling (sea-level rise, tsunamis, extreme precipitation events etc.) and impact assessment. Relevant teaching responsibilities will also be offered.

The postdoc will be jointly affiliated with the Danish National Research Foundation Center MADALGO (Center for Massive Data Algorithmics - www.madalgo.au.dk) under the supervision of computer science Professor Lars Arge (large@madalgo.au.dk) and the Ecoinformatics & Biodiversity Group at the Department of Biological Sciences under the supervision of Professor Jens-Christian Svenning (svenning@biology.au.dk).

MADALGO is a major basic research centre lead by Professor Lars Arge.  The focus of the center is efficient algorithms for processing massive datasets. MADALGO's core researchers are a team of six world leading researchers located at four major algorithms research institutions: Max-Planck-Institute for Informatics (MPI); Institute for Computer Science, Goethe-University Frankfurt; Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT); and Department of Computer Science, Aarhus University (AU).

The Ecoinformatics & Biodiversity Group is lead by Professor Jens-Christian Svenning. This group is amongst world leading research groups focusing on informatics-based research on ecology and environmental sciences. Its research takes advantage of the recent gains in computing power and data storage capacity, advances in statistics and mathematics, and dramatic increases in data availability to tackle complex problems in ecology and environmental science.