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Da: <johanna.ziegel(a)stat.unibe.ch>
Subject: Posting on Italian lists
To: <fabio.bellini(a)unimib.it>
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Postdoctoral position on Statistical Verification of Weather Warnings
In the framework of a collaboration being currently set up between the
University
of Bern and the Swiss Federal Office of Meteorology and Climatology
(Meteoswiss), we are calling for applications for a 2-year postdoctoral
position (80%-100%) to be funded subject to successful completion of the
collaboration contract.
The main goal is to investigate and develop a statistical framework for the
verification of weather warnings. Warnings are traditionally issued for
specific (often fixed) regions in space, defined time periods, and certain
event types. Existing verification therefore often interprets warnings as
forecasts of binary categorical events and counts of hits, misses, and
false alarms form the basis to assess quality of warnings. In contrast to
standard weather forecasts, the non-event (no warning, no event) is often
not well defined for warnings, and near hits/misses create difficulties.
Furthermore, the temporal complexities of warnings should be considered. To
maximize user-relevance, the framework for the verification of warnings
will be developed in close collaboration with ongoing sociological studies
at MeteoSwiss to better understand how warnings are used in practice.
The recruited postdoctoral researcher will be mentored from the academic side
by Prof. Johanna Ziegel, Institute for Mathematical Statistics and
Actuarial Sciences, and affilliated with the Oeschger Center for Climate
Change Research (University of Bern). The recruited Postdoc will also work
a substantial part of her/his time at MeteoSwiss (near Zürich) under the
guidance of Dr. Jonas Bhend and Dr. Mark Liniger. This will ensure an
optimal know-how transfer on the understanding of the motivating problems,
meteorological expertise, the exact user needs and practical applicability
and the work can build upon prior experience at MeteoSwiss.
The ideal candidate either has a PhD in statistics with a strong taste for
applications in areas related to meteorology and climate sciences, or a PhD
in climate sciences with a strong background in theoretical and applied
statistics. In all cases, the position will require outstanding data
analysis and implementation skills, very good communication and team player
abilities, and academic writing proficiency. We offer a multi-disciplinary
environment with the possibility to have an impact on science and society.
The starting date is as soon as possible. Applications will be reviewed
swiftly and selected candidates will be contacted for interviews.
CV, motivation letter and names of three references to be sent to
johanna.ziegel(a)stat.unibe.ch