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PhD: Coupling of planetary-scale Rossby wave trains to local extremes in heat waves over Europe

Our ability to predict the weather up to a week or more ahead saves our societies billions of Euros annually and protects human life and property. The great challenge today is to identify the limits of weather predictability in different situations and produce the best forecasts that are physically possible.

On July 1st 2015, the Transregional Collaborative Research Center “Waves to Weather” (W2W; SFB/TRR165; http://w2w.meteo.physik.uni-muenchen.de/) was established to address these issues and to deliver the underpinning science urgently needed to pave the way towards a new generation of weather forecasting systems.
The W2W consortium consists of:
- the Ludwig-Maximilians-University (LMU, Munich)
- the Johannes Gutenberg-University (JGU, Mainz)
- the Karlsruhe Institute of Technology (KIT), together with
- the Technische Universität München (TUM)
- the Heidelberg University, and
- the Deutsches Zentrum für Luft- und Raumfahrt (DLR, Munich).

The following PhD-position is available within the W2W consortium:

Location: Johannes-Gutenberg University, Mainz

Advisor: Prof. Dr.Volkmar Wirth

This PhD position will contribute to project C4 "Coupling of planetary-scale Rossby wave trains to local extremes in heat waves over Europe" of the W2W consortium.

Outline: Heat waves are usually associated with quasi-stationary circulation patterns in the upper troposphere. This project aims to enhance our understanding of related dynamical processes in order to learn which aspects are key for a successful forecast. We will develop and apply methods to diagnose the strengh of the wave guide, the propagation of wave packets along this wave guide, and the conditions for the wave to turn quasi-stationary. This project closely collaborates with the twin-project at KIT, where smaller-scale processes will be investigated.

Requirements: The successful candidate should have a good background in dynamical meteorology; experience with scientific programming (Fortran, Matlab, Python) is desirable.

The position is funded until June 2019. The successful PhD candidate will be remunerated according to TV-L 13 (75%) and should start as soon as possible.

Responsibilities and requirements are outlined on the website http://w2w.meteo.physik.uni-muenchen.de. The position is a fixed-term employment contract until June 2019. The contract is time-limited according to the Academic Fixed-Term Contract Law (WissZeitVG). The salary scale is TV-L E13. Employment shall begin as soon as possible.

Handicapped applicants will be given preference in case of equal suitability. The W2W consortium strives to increase the proportion of women in research and specifically encourages females to apply for this position.

Applications should be submitted online before July 31st 2015 using the application tool of the W2W consortium (visit the website http://w2w.meteo.physik.uni-muenchen.de for more information) and should include the following components:
- CV
- letter of motivation
- research interests
- a record of studies
- master and bachelor certificates including a transcript of records
- the degree certificates
- contact information of two referees for letters of recommendation
- an English language certificate

For further information, please visit http://w2w.meteo.physik.uni-muenchen.de or contact Dr. Audine Laurian (audine.laurian@physik.uni-muenchen.de).
 
How to apply:
Applications should be submitted online before July 31st 2015 using the application tool of the W2W consortium (visit the website http://w2w.meteo.physik.uni-muenchen.de for more information).
Kontakt für Bewerbungen
For further information, please visit http://w2w.meteo.physik.uni-muenchen.de or contact Dr. Audine Laurian (audine.laurian@physik.uni-muenchen.de).
 
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Über Transregional Collaborative Research Center "Waves to Weather"

Our ability to predict the weather up to a week or more ahead saves our societies billions of Euros annually and protects human life and property. The great challenge today is to identify the limits of weather predictability in different situations and produce the best forecasts that are physically possible. On July 1st 2015, the Transregional Collaborative Research Center “Waves to...

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