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 (person.au.dk/en/large@cs) and the Ecoinformatics & Biodiversity Group at the Department of Biological Sciences under the supervision of Professor Jens-Christian Svenning (person.au.dk/en/svenning@biology).
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.
Applications are welcomed from
· Computer scientists with clearly demonstrated skills in the design, analysis and implementation of algorithms
· Geoinformaticians or geographers with strong informatics and programming skills
· Biologists with strong, demonstrated skills in ecoinformatics, GIS, and programming
Researchers with interdisciplinary research experience will be preferred.
Applicants should apply by uploading a letter of interest and a CV, as well as indicate at least two names of references for recommendations, using the application form available at www.madalgo.au.dk. To be assured of full consideration, applications must arrive by November 1, 2010. Applications will be considered until the position is filled.