met-jobs@lists.reading.ac.uk
October 2019
Message 116

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[Met-jobs] 1 PhD position (3 years) in Predictability in Munich, Germany (LMU)

From Audine Laurian <audine.laurian@physik.uni-muenchen.de>
To met-jobs@lists.reading.ac.uk
Date Thu, 31 Oct 2019 10:54:20 +0100

Dear Colleagues,

A PhD position (3 years) is available in the Theoretical Meteorology group at the Meteorological Institute at the Ludwig-Maximilians Universität (LMU) München, Germany that focuses on predictability.

We seek candidates with a background in meteorology, mathematics or physics. Experience in numerical weather prediction, data assimilation or ensemble forecasting is desirable, but not a prerequisite.

The PhD position contributes to project B3 "Sources of uncertainty for convective-scale predictability" (https://www.wavestoweather.de/research_areas/phase2/b3) and is offered within Phase 2 of the collaborative research center "Waves to Weather" (W2W). The Theoretical Meteorology group at MIM has a strong focus on predictability of weather and has established a leading international reputation in atmospheric predictability, stochastic parameterization and data assimilation. As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences.

Background: Forecasting convective precipitation remains one of the key challenges in weather forecasting. The predictability of convective precipitation depends on many factors including uncertainties in the synoptic-scale flow, inaccuracies in the state and description of the atmosphere as well as of the underlying land surface, and approximations in the representation of key physical processes in weather models.

Goal: Sources of uncertainty for convective-scale predictability will be identified by investigating the individual and collective impact of soil moisture and microphysical uncertainties, to better understand the mechanisms for convection initiation, cloud formation and subsequent precipitation. The numerical simulations will be conducted with the new Icosahedral Nonhydrostatic (ICON) forecasting system (used for operational forecasting at Deutscher Wetterdienst (DWD)) at kilometre-scale horizontal resolution. ICON will be used in ensemble mode including data assimilation to examine how the new sources of uncertainty affect predictability for multiple case studies including days in May/June 2016 that led to high impact weather events across Germany.

Essential skills:
- Master degree in meteorology, mathematics, physics, or related field
- Good knowledge of spoken and written English
- Programming skills

Advantageous skills:
- Experience with numerical weather prediction, data assimilation or ensemble systems
- Experience with Fortran, Unix, and statistical/visualisation software (e.g. python)

Remuneration: The PhD salary is 75% of the German salary scale TV-L, grade 13.

Starting date: 1 January 2020 or as soon as possible thereafter.

W2W features an innovative program for the development of early career researchers based on self-government. In addition to self-organized activities such as workshops, trainings and a guest program, the successful candidate will have the opportunity, if desired, to pursue an international research visit of at least one week. The consortium conducts an ambitious program to gradually enhance gender equality on all career levels within the academic fields combined in W2W.

LMU is an equal opportunity employer. Women are especially encouraged to apply. Applicants with disabilities will be preferentially considered if equally qualified. The successful candidate will work in the city center of Munich and will have access to extensive training and career development activities offered by the LMU.

Deadline: 22 November 2019

Contact and key supervisor: Dr. Christian Keil (christian.keil@lmu.de). Please don’t hesitate to contact us in case of questions.

If you are interested, please apply online here: https://www.portal.graduatecenter.uni-muenchen.de/ocgc/w2w
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Dr. Audine Laurian
Scientific Manager of "Waves to Weather" (SFB/TRR165)
Tel: +49 (0)89 2180-4513       	Meteorologisches Institut
Fax: +49 (0)89 280-5508 	Ludwig-Maximilians-Universität
e-mail: audine.laurian@lmu.de   Theresienstr.37, 80333 München
http://www.wavestoweather.de
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