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Professorships in Integrated Climate System Analysis and Prediction (CliSAP)

by GWillis last modified 2007-12-30 23:39

Professorships Available Integrated Climate System Analysis and Prediction (CliSAP) University of Hamburg Application Deadline: Tuesday, 22 January 2008

Professorships Available

Integrated Climate System Analysis and Prediction (CliSAP)

University of Hamburg

 

Application Deadline: Tuesday, 22 January 2008

 

For further information, please go to: http://www.clisap.de/Aktuell.181.0.html

 

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The University of Hamburg, jointly with the Max Planck Institute for Meteorology and the Institute for Coastal Research at the GKSS Research Centre, is establishing a trans-disciplinary research focus on "Integrated Climate System Analysis and Prediction" (CliSAP; http://www.clisap.de/) and invites applications for nine professorship positions. The goal set for CliSAP is to analyze ongoing and past changes of the state of the climate system, in response to natural and

human-driven perturbations, to determine predictable elements of the climate system over a broad range of space and time scales, and to determine uncertainties intrinsic to predictions of important climate system and environmental indices. In terms of regional consequences of climate change, CliSAP will quantify potential impacts of such changes

on marine and terrestrial ecosystems as well as humans, including economy and security, with a focus on Northern Europe.

 

The open professorships are in the following areas:

 

Climate System Data Assimilation (Code 1950):

The professorship will expand current capabilities in "Climate System Data Assimilation." While data assimilation has advanced to the point that routine analyses/re-analyses are possible for atmosphere or ocean separately, improving assimilation capabilities in the coupled ocean-ice or atmosphere-ocean-ice system is a challenging frontier of climate

sciences. Coupled data assimilation will be essential in climate model initialization and seasonal to decadal forecasting. CliSAP seeks candidates with strong background in modeling of one or more components of the climate system and demonstrated interest in improving climate models by combining them with observations through data assimilation.

 

Chemistry of Natural Aqueous Solutions (Code 1951):

The professorship will be focused on the field of chemistry of aqueous systems. Applications are sought from experts in one of the following fields: the carbonate system of natural waters, nutrient cycles in pristine and impacted land-sea transition regions, and stable isotope geochemistry of climatically relevant bio-elements. CliSAP specifically

encourages applications from candidates with an experimental approach and seagoing experience. The successful candidate is expected to develop a vigorous research program by collaborating closely with a modeling consortium and groups focusing on regional soil hydrology, element fluxes, development of automated systems for environmental surveillance, and numerical modeling of material cycles.

 

Dynamical Systems (Code 1952):

The professorship on Dynamical Systems will strengthen the understanding of climate dynamics and variability by the application of state-of-the-art mathematical and physical methods. The terrestrial climate is a high dimensional nonlinear dynamical system for which only limited theoretical background is available. Applications are invited from candidates with demonstrated expertise in one of the following fields: fundamentals of multi-scale model hierarchies including model

embedding and downscaling approaches, the mathematical basis of reconstruction and assimilation methods, and the parameterization of subscale processes including stochastic approaches and/or nonlinear time series analysis.

 

Surface Deformations (Code 1953):

An expert is sought for studies of deformations of the Earth's crust

using space- and land-based measurement techniques of surface deformations. Surface deformations contribute to changes of coastlines and sea level rise. Sea level changes, in turn, modify the load and pore pressure of offshore sedimentary systems and influence slope stability and the stability of gas hydrates. Load changes further contribute to

the development of the postglacial rebound. Large slope instabilities are a major natural hazard that may lead to tsunamis. The successful candidate is expected to participate in the modeling of past, present, and future surface deformations and to assess the risk of surface deformations for sea level rise and storm surges.

 

Climate Change and Security (Code 1954):

The professorship on Climate Change and Security will be filled to lead a group of scientists in the research on the impact of climate change effects on local and international security. The successful candidate will act as coordinator of research on conflicts related to climate change and will merge results from research on climate change with research on the causes, prevention, management, and consequences of local, regional, and international conflicts. A major objective is to

identify local conflict 'hot spots' of climate change through the combination of political and social data with data on climate change. CliSAP especially encourages applications from candidates with a degree in geography, conflict research, or a related field and with demonstrated expertise in one of the following areas: social adaptation to environmental change, conflict research, and environmental security. CliSAP encourages candidates with a quantitative approach and candidates with particular regional expertise in the named fields. Experience in the development and use of  geoinformation systems is welcome.

 

Media constructions of regional geohazards (Code 1955):

The professorship will be filled in the area of media representations of climate (regional extreme events, specially storms) in the context of anthropogenic climate change. An area of interest is comparative analyses of discourses in the fields of media and the natural sciences. The successful candidate should have knowledge and research experience

in media content analyses (quantitative and q