Closing date for applications: July 28
Starting date: as soon as possible
Appointment for a duration of 2 years
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.
The Theoretical Meteorology Group at LMU (www.en.meteo.physik.uni-muenchen.de) is a
leading group in the basic science underpinning the prediction of weather. Activities include leading
the collaborative research centre Waves to Weather (www.wavestoweather.de), one of the largest
research programs in the world devoted to the predictability of high impact weather, and hosting
the Data Assimilation Branch of the Hans Ertel Centre for Weather Research (HErZ,
www.meteorologie.lmu.de/herz), a joint program with Deutscher Wetterdienst (DWD). Our core
competence is in atmospheric moist convection, nonlinear dynamics, methods from statistical
physics, data assimilation and probabilistic prediction using ensembles of numerical simulations.
The theoretical meteorology group at LMU is now recruiting a post-doctoral researcher to support
the institute through the 2nd phase of the HD(CP)2 project. HD(CP)2 is a Germany-wide initiative
gathering more than 100 scientists from 19 different research institutes across the country aiming
at improving our understanding of clouds and precipitation and their representation in climate
models. The first phase of HD(CP)2, which ended in spring 2016, led to substantial improvements
of the ICON (Icosahedral non-hydrostatic general circulation) model and the development of its
high-resolution, limited area version, ICON-LES. Now in its second phase, the objectives of
HD(CP)2 have been reoriented towards the consolidation of the numerical tools previously
developed and their application to answer some of the most fundamental scientific questions
related to cloud formation.
The appointee’s main task will consist in developing and implementing a prototype non-equilibrium
closure in a stochastic convection parameterization that has the potential to account for convective
self-organisation. This work will be based on the theoretical framework developed at the institute
and relying on cellular automata. A proper evaluation of the method will be carried out using the
ICON model at high-resolution based on an idealized setup. Model validation will rely on the
extraction of cloud statistics and comparisons with observations and theory. The impact of the new
method on critical large scale flow features (such as tropospheric moisture distribution) will also be
assessed. This new framework is intended to pave the way for next generation convection
parameterizations, allowing for the inclusion of stochasticity, convective organisation, and nonequilibrium
effects. For further information please contact Dr. Julien Savre (firstname.lastname@example.org) or
Pr. George Craig (email@example.com).
Applicants must hold a PhD in physics, meteorology or another relevant discipline, and have good
written and spoken English (knowledge of German is welcome but not required). A good
knowledge of fortran, and experience working with numerical models and diagnostic tools for the
atmosphere are also desirable (experience with high performance computing systems is an asset).
LMU Munich is an equal opportunity employer and intends to enhance the diversity of its staff.
Applications from female candidates are strongly encouraged. Disabled candidates with essentially
equal qualifications will be given preference.
Please submit your application by email as a single PDF-file including a letter of motivation,
curriculum vitae, and list of publications, to Dr. Julien Savre (firstname.lastname@example.org) by 28 July