opportunità di lavoro

Segnaliamo che il Dipartimento di Geofisica dell’università di Vienna offre una posizione PhD (“pre-dottorato”) sulla “Assimilazione di osservazioni satellitari affette da nuvolosità sul modello di previsione convection-permitting AROME del Servio Meteorologico Austriaco ZAMG”.

Qui di seguito il testo del bando (in inglese):

The Department of Meteorology and Geophysics of the University of Vienna
offers a PhD (“prae-doctoral”) position on the “Assimilation of
cloud-affected satellite observations in the convection-permitting
numerical weather prediction model AROME of the Austrian Weather Service

The planned starting date is 1 November 2022. The announcement is made
for three years, whereby the employment relationship is initially
limited to 1.5 years and is automatically extended to a total of three
years, unless the employer submits a declaration of non-renewal after a
maximum of 12 months.

The position will be embedded in the research group of Prof. Martin
(https://img.univie.ac.at/en/research/nwp-and-data-assimilation/) and
will be part of the Vienna Network for Atmospheric Research (VINAR,
https://vinar.univie.ac.at/), a collaboration between the University of
Vienna and the Austrian National Weather Service ZAMG (Zentralanstalt
für Meteorologie und Geodynamik). The student will have access to data
and models used at ZAMG and the research will be conducted in close
collaboration with ZAMG.

The PhD student will investigate the potential of the direct
assimilation of cloud-affected satellite radiance observations in
visible and water vapour sensitive infrared channels in a
state-of-the-art convection-permitting limited-area numerical weather
prediction (NWP) model. For the first time, the assimilation of visible
and infrared observations will be combined in a variational data
assimilation (DA) scheme and in a limited-area model over comparably
complex terrain (the Alps) to quantify their potential for improving
short-range (up to two days lead time) high-resolution NWP forecasts
based on observing system experiments.

Extent of Employment: 30 hours/week (75%)
Job grading in accordance with collective bargaining agreement: §48
VwGr. B1

Essential qualifications:

·       Master (or equivalent) degree in Meteorology/Atmospheric
Sciences or a related subject

·       Programming experience

·       Good verbal and written communication skills including fluency
in English

Desirable additional qualifications:

·       Experience with numerical modelling

·       Knowledge of data assimilation

·       Python and Fortran programming

·       Familiarity with Linux/UNIX environments

·       Familiarity with high-performance computing

If you’re interested, please send your CV, the names of two reference
persons, and a letter stating why you are interested in the above
research topic to our secretariat (img-wien@univie.ac.at) until 10
September 2022.

The University of Vienna aims at increasing the proportion of women at
all employment levels and therefore encourages applications by qualified