August 2016
Message 21

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[Met-jobs] PhD student/Early career Postdoc - Boundary layer processes and EnKF data assimilation.

From Zbigniew Piotrowski <>
To <>
Date Tue, 9 Aug 2016 12:29:53 +0200

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


PDF version of this ad:


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), 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 2014–2020, Measure
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 priority project
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.

Personal attributes

• Enthusiasm to work independently and in a small team.
• Positive attitude towards working in an international environment.
• Ability to communicate with professionals and the general public.
• 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 Filter approach.
• Ability to understand and work with complex sets of partial differential equations such
as primitive equations for atmospheric flows.

Desired qualifications:
• 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 Deutscher Wetterdienst
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.

Our offer

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 with the keyword BL in the
• CV and the cover letter explaining the interest and skills of the applicant,
• email addresses (and, if possible, phone numbers) of the two academic/professional refer-
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 publications,
• 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
to apply.

Attachment: firstteamoffer1.pdf
Description: Adobe PDF document

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