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Title

PhD Student sea ice modeling and data assimilation

Posted
Reference   (Please mention Stopdodo/Environment Jobs in your application)
Sectors Sustainability, Climate, CSR, EMS
Location Germany (North) - Europe
Type Fixed Term and Permanent Roles
Status Full Time
Level Mid Level
Deadline 05/07/2013
Company Name Alfred Wegener Institut fur Polar und Meeresforschung
Contact Name
Website Further Details / Applications
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Description

PhD Student sea ice modeling and data assimilation

Division:Climate Sciences

The AWI is a research facility funded by the Federal Republic of Germany and the states Bremen, Brandenburg and Schleswig-Holstein with approximately 1,000 employees. In association with numerous universities and non-university research partners we largely contribute to global environmental, earth system and paleo climate research on a wide multi-disciplinary scale. For the DFG-funded International Research Training Group ArcTrain (International Research Training Group ArcTrain: Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic), a collaborative project between the University of Bremen, the Alfred Wegener Institute, and a consortium of eight Canadian universities, the Climate Dynamics section invites applications for a

PhD Student
sea ice modeling and data assimilation

within the framework of ArcTrain project HB02 “Constraining sea ice models with observations and data assimilation methods: effects of rheology, resolution, and parameterizations” This PhD position is one of 12 to be filled within international interdisciplinary ArcTrain program. Details and background information are available at http://www.marum.de/en/Page13544.html.

Sea ice models are used to understand sparse data of ice thickness and drift. Yet, they are based on many assumptions and parameterizations. Many standard parameterizations have been introduced based on physical reasoning, but details of the parameterizations and parameter choices often remain unclear. In the project HB02 a general ocean circulation model with sea-ice will be used to test hypotheses about sea ice rheology and parameterizations, but also sea ice distribution and export through Arctic flux gates. Data assimilation techniques will be applied to explore the model sensitivities and to improve model simulations by revising parameterizations and details of the sea-ice rheology. We are searching for an enthusiastic and dynamic young researcher with interest in sea ice dynamics, data assimilation and numerical techniques. The PhD-student will be part of the Climate Dynamics group at the AWI in Bremerhaven, working under the supervision of Dr. Martin Losch. A research stay is envisaged at the McGill University in Montréal.

Requirements:

  • Completed MSc in physical oceanography, meteorology, physics, applied mathematics or related fields
  • Experience with numerical modeling, scientific computation (UNIX / LINUX, FORTRAN) and large data sets is advantageous
  • Applicants should be fluent in written and spoken English and enjoy working in an international interdisciplinary team.


The position is fixed for a term of 3 years. It is funded by the German Science Foundation (DFG). The earliest starting date is September 1st, 2013. Salary will be paid in accordance with the German TVöD, salary group E13 (66%). The successful candidate will be employed at the AWI. 

Handicapped applicants with equal qualifications will be given priority; please consult our homepage athttp://www.awi.de/en/news/open_positions/. The AWI supports the compatibility of work and family through various means and offers nursery places at its Bremerhaven site.

For further information, please contact Dr. Martin Losch (E-Mail: Martin.Losch(at)awi.de; Phone: +49(0)471-4831-1872).

Applications, including the usual documents (letter of motivation, a CV including copies of certificates, a publication list if applicable, and contact information of two referees), with reference to the index number 55/D/KIi (HB-02) should be sent by July 5th, 2013 via Email (all documents attached as one pdf-file, 2 MB max.) to: personal@awi.de

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