PhD student/Early career Postdoc - Boundary layer processes
and EnKF data assimilation.
Project: Numerical Weather Prediction for sustainable Europe
Salary: 4000-5000/6000-9000 PLN net of tax (approx. 1000/2000
EUR) and state health
insurance. Benefits e.g. private health insurance scheme are
available. Final salary will be
negotiated commensurate with experience. Early career status
denotes that (the first) PhD
degree was granted no earlier than in 2011.
Duration: three years (PhD student), at least one year and up
to three years
(Postdoc), with the possibility of extension to the
fourth year subject to resources.
Project leader: dr Zbigniew Piotrowski
Location: IMGW-PIB headquarter in Warsaw, Poland
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IMGW-PIB and the Project
The Institute of Meteorology and Water Management - National
Research Institute is a research-
development unit and the Polish national meteorological and
hydrological service. IMGW-
PIB carries research within the European Consortium for
Small-scale Modeling (COSMO)
www.cosmo-model.org, a coalition of weather services on the
development of operational nu-
merical weather prediction models.
The Numerical Weather Prediction for Sustainable Europe project
is financed by the
European fund within the Smart Growth Operational Programme
4.4. “Boosting human potential in R&D sector“, through the
First Team 1/2016 award of
Foundation for Polish Science. The project aims at accelerating
the operationalization of
the EULAG dynamical core of COSMO model, complementary to the CELO
of COSMO Consortium.
The research and implementation tasks include integration of
EULAG dynamical core within
the COSMO numerical weather prediction framework. Unique
formulation of EULAG dynami-
cal core employs the lowest model level at the Earth’s surface,
moreover, it is capable of carrying
Implicit Large Eddy Simulations, when no explicit subgridscale
parameterization is necessary.
Research and implementation work is needed to fully exploit these
EULAG features to augment
COSMO forecasting capabilities.
COSMO employs data assimilation strategy based on the use of
Ensemble Kalman Fil-
ter(EnKF) approach. Careful adaptation of COSMO EnKF capabilities
developed within the
KENDA and KENDA-O priority projects to the EULAG numerical
formulation is fundamental
for the forecast quality of COSMO-EULAG.
Summary of the position
The focus of the position is on the investigation and optimization
of numerical and physical
formulation of the COSMO-EULAG at and near the surface. This
includes the assessment
and testing of several strategies for surface and atmosphere
interaction, encompassing both the
established solution of the diffusion equation and evaluation of
custom numerical devices to
enable ILES approach for simulating weather. Physical
parametrizations are to be investigated
to provide meaningful tendencies at the Earth’s surface. Technical
adaptation of the COSMO
I/O layer is needed.The successful candidate, in cooperation with
the German meteorological service, will also
work on the implementation of the EnKF data assimilation in COSMO
numerical weather pre-
diction framework. Investigation on the differences in the
formulation of prognostic equations
(of the new ”EULAG” and operational ”Runge-Kutta” dynamical cores)
of COSMO framework
will result in the necessary code modifications to employ the EnKF
module for the forecast with
the EULAG dynamical core.
Main duties and key responsibilities
• Research on the optimal formulation of surface to atmosphere
transport in the context of
additional model level at the surface and the ILES capability of
EULAG dynamical core.
• Participation in the development of the optimal implementation
of the three-dimensional
generalized Laplace operator in curvilinear coordinates in both:
Cartesian and spherical
• Investigation, adaptation, implementation and documentation of
the Ensemble Kalman
Filter data assimilation for EULAG dynamical core of COSMO model.
• Preparation of COSMO-EULAG documentation.
• Preparation of scientific publications for the leading journals.
• Communicating the project results by public dissemination
activities and presentations
at the workshops and conferences.
• Enthusiasm to work independently and in a small team.
• Positive attitude towards working in an international
• Ability to communicate with professionals and the general
• Dedication to advance the cutting-edge technologies for
dynamical cores of the numerical
weather prediction models.
• Willingness to accept the operational priorities of the national
weather service environ-
• Commitment to advance the scientific standards at the IMGW-PIB.
Qualification and experience required
Commensurate with the applicant’s career stage:
• MSc or PhD in physics, engineering or similar.
• Good knowledge of modern high-level language such as Fortran or
C++ and Unix working
• Understanding of statistical concepts behind the Ensemble Kalman
• Ability to understand and work with complex sets of partial
differential equations such
as primitive equations for atmospheric flows.
• Experience in the development of meteorological/geophysical
software, including EULAG
and COSMO models.
• Scientific achievements and peer-review publication record.
• Experience with L A TEX.
The working language is English. Candidate must be able to
communicate, read and write
fluently in English. The successful candidate is expected to be
able to travel several times
a year and collaborate with partners at MeteoSwiss in Zurich and
in Offenbach. She/He will also participate in the training
sessions at the leading institutions
and/or spend a number of weeks at the fellowships with the foreign
partners. Candidates at the
PhD level are expected to be enrolled in the recognized programme
of PhD studies or to enrol
at the earliest possible opportunity, e.g. at the University of
Warsaw. Candidates advanced in
the PhD processes but who do not possess the PhD student status
(e.g. expecting to defend
the degree within one year) will be reviewed on a case-by-case.
We offer an unique position which provides the opportunity to
work on leading edge numerical
methods and modelling concepts applied to the next-generation
numerical weather prediction
for Europe, to collaborate with internationally renowned research
groups and major weather
services, and to develop production quality weather prediction
software, within a motivated
team. We offer opportunities for training in the field of modern
technologies, numerical mod-
elling and meteorology, international internships and cooperation,
and a competitive salary
(based upon qualifications and experience).
Please send the following information to the email@example.com with
the keyword BL in the
• CV and the cover letter explaining the interest and skills of
• email addresses (and, if possible, phone numbers) of the two
ees who may be contacted by the recruiting committee,
• proof of the recent degree certificate and the transcript of
records or similar document
(only at the entry PhD level),
• list of scientific and software development achievements,
• other proofs of qualifications as desired, up to five journal
• passport-size photo.
Deadline and policies
Initial consideration will be given to applications received by
the August, 28th. After this
date, the applications will be considered as long as the position
is filled. Employment will start
on October 1 st , 2016 or as soon as possible after this date.
Submission of the application implies
consent to the processing of the personal data for the purpose of
the selection process. IMGW-
PIB is committed to the equal opportunity policy and all suitable
candidates are encouraged