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Ana M Mancho <[log in para visualizar]>
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Thu, 13 Jan 2011 09:30:17 +0100
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Ed Lorenz Postdoctoral Fellows in  the Mathematics of Climate

The Mathematics and Climate Research Network is a nation-wide NSF  
funded initiative. Our goal is to define, develop and solve  
mathematical problems that arise in climate science. A number of  
postdoctoral positions will be available starting in Summer or Fall,  
2011. The successful applicants will be known as Ed Lorenz  
Postdoctoral Fellows in the Mathematics of Climate and will have an  
affiliation with one of the network nodes.  The topics of research  
will range from sea-ice processes to paleoclimate studies and data  
assimilation in climate models. The network has twelve funded nodes  
and a number of other collaborating institutions.  For more details,  
see www.mathclimate.org.

The postdoctoral fellows will be based at the nodes indicated below.   
There will be considerable interaction possible with other network  
members through weekly web-based seminars and working groups. The  
network encourages and will support extended visits by postdocs to  
other nodes

All interested recent PhDs are encouraged to apply. There are two  
steps necessary for a complete application: (1) posting materials to  
mathjobs.org (cover letter, CV, research statement and 3 letters of  
recommendation), and (2) completing a short questionnaire to be found  
at: jobs.mathclimate.org.

The specific positions with areas of focus, primary locations and  
postdoctoral mentors as well as institution relevant information are  
given below. Salaries will be competitive. The postdocs are multi-year  
and starting times will all be sometime Summer or Fall, 2011. Teaching  
one course per year will be an option in most positions.

Arizona State University (School of Mathematical and Statistical  
Sciences), Data assimilation and large complex models of the  
atmosphere. Mentors: Eric Kostelich and Alex Mahalov

Bowdoin College (Department of Mathematics), Dynamical systems in  
climate process models and paleoclimate. Mentors: Mary Lou Zeeman and  
Dick McGehee (Minnesota)

New York University (Courant Institute of Mathematical Sciences),  
Southern Ocean, sea ice, Antarctic ice sheet,  and regional  
atmospheric modeling.Mentor: David Holland

University of Chicago (Department of Geosciences), Modeling and  
analysis of climate processes such as water vapor and cloud feedback,  
atmospheric circulation, land and sea ice including applications to  
past climate, and modeling of carbon cycle fluctuations on varying  
time scales. Mentors: Pam Martin, Ray Pierrehumbert, Dorian Abbot and  
Mary Silber (Northwestern)

University of Utah (Department of Mathematics), Analysis of sea ice  
through modeling, computation, and methods of applied mathematics and  
physics. Field trips to the Arctic or Antarctic potentially part of  
postdoctoral work. Mentor: Ken Golden

University of Vermont (Department of Mathematics and Statistics),  
Development of data assimilation methods and implementation on climate  
models, both conceptual and global. Mentors: Chris Danforth and Chris  
Jones (UNC-CH)

University of Washington (Department of Applied Mathematics), Analysis  
of historical climate data using linear and nonlinear time series  
techniques. Mentors: Ka-Kit Tung and Dave Camp (Calpoly-SLO)

Each of the universities involved is an Affirmative Action/Equal  
Opportunity employer and welcomes applications from women,  
underrepresented ethnic, racial and cultural groups, and from people  
with disabilities. Reviewing of applications will begin on Jan 20,  
2011 but applications will continue to be accepted until the positions  
are filled.

To apply, go to https://www.mathjobs.org/jobs/jobs/2685 or search at  
mathjobs.org with climate (without quotes) as subject area

Ana Maria Mancho
Instituto de Ciencias Matematicas
Consejo Superior de Investigaciones Cientificas
Serrano 121
28006 Madrid
Spain

e-mail: [log in para visualizar]
Ph  +34   91 5616800 ext 942408
Fax  +34   91 5854894
http://www.mat.csic.es/ana.mancho

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