March 2013
Message 51

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[Met-jobs] 3 PhD Scholarships in Renewable Energies

From "Roger Brugge" <>
To "" <>
Date Thu, 21 Mar 2013 15:00:15 +0000

The federal state Lower Saxony supports the PhD Programme “System Integration
of Renewable Energies” at the University of Oldenburg in cooperation with Jade
University of Applied Sciences Wilhelmshaven, Oldenburg, Elsfleth. 15
Georg-Christoph-Lichtenberg PhD scholarships are granted in Chemistry,
Informatics, Physics and Economics. The monthly allowance is 1500 EUR plus
family allowance. The following three PhD scholarships are offered at the
earliest date possible

(1) SEE_07_MJ

Topic: Characterization and Prediction of the Variability of Mesoscale Wind

The share of fluctuating wind energy in the power supply system increases with
future deployment of wind energy. The PhD position is located at the Center for
Wind Energy Research (ForWind) and investigates atmospheric processes and
conditions that lead to strong wind fluctuations in the range of one minute to
one hour and to sharp wind power fluctuations of entire wind farms. Wind
observations, LiDAR field measurements and eventually further observing
techniques shall be analyzed and compared to available Large-Eddy Simulation
(LES) of the model PALM. Besides the meteorological interpretation stochastic
models shall be developed to describe heterogeneous wind fields.
Mesoscale ensemble wind forecasts of the COSMO-DE-EPS model of the German
Weather Service are used in another SEE PhD project and offer the possibility
to analyze the predictability of wind fluctuations. Advances in the
spatio-temporal structure of mesoscale wind fields will be used in other SEE
PhD projects (e.g. SEE_09) in order to investigate the dynamics and power
control of wind turbines and wind parks.

Application and contact:
Dr. Lueder von Bremen   Email:
ForWind – Center for Wind Energy Research
Carl von Ossietzky University of Oldenburg, Institute for Physics, Energy
Meteorology Group
D-26111 Oldenburg, Germany

(2) SEE_11_MJ

Topic: Optimization of Short-Term Solar Power Forecasts by Combination of
Various Data using Statistical Learning Algorithms

Short-term forecasts of solar power are very important for the efficient grid
integration of solar power. Solar power forecasts can be based on different
data sources and different methods. Numerical weather prediction models are the
best choice for forecast horizons beyond 6 hours while for shorter forecast
horizons cloud motion vectors based on satellite images and “online”
measurements from solar systems yield valuable additional information. The
forecast uncertainty of individual models can be reduced by statistical methods
using measurement data. In particular, the combination of models exhibit are
great potential to increase the skill of solar power forecasts.
In this PhD project current statistical learning algorithms like
support-vector-methods shall be applied, developed and improved in order to
combine various data sources and to optimize the solar power forecast of PV
systems. The PhD position is located at the Energy Meteorology group of the
Institute for Physics. The work is carried out in close cooperation with the
group of Computational Intelligence at the Department of Computing Science that
is also involved in the PhD Programme with several PhD positions. The joint
excellence of both groups shall lead to the development of a system that is
tailored to the needs of solar power forecasts.

Application and contact:
Dr. Elke Lorenz Email:
Carl von Ossietzky University of Oldenburg, Institute for Physics, Energy
Meteorology Group
D-26111 Oldenburg, Germany

(3) SEE_09_MJ

Topic: Optimized Load and Energy Yield Control of Wind Turbines with respect to
real Flow Conditions in Wind Farms
Future deployment of wind energy requires large-scale wind farms. In
particular, the economics of offshore wind farming and its reliability to
deliver power must be improved. The PhD project aims at modeling the
interaction of the turbulent atmospheric flow in the boundary layer with the
aero- and structural dynamical behavior of wind turbines. New control concepts
for both wind turbines and wind farms shall be developed and tested to reduce
wake-induced loads and energy losses. The turbulent inflow, wakes and the
interaction between atmospheric flow and structures of wind turbines will be
investigated using engineering models and flow measurements (e.g. LiDAR)
combined with load measurements.
Within the PhD Programme a strong cooperation with other PhD projects at
ForWind related to the non-linear dynamics of wind turbines and Energy
Meteorology (e.g. SEE_07) is envisaged to develop the interdisciplinary
understanding of the dynamics and the control of wind farms.

Application and contact
Prof. Dr. Martin Kühn   Email:
ForWind – Center for Wind Energy Research
Carl von Ossietzky University of Oldenburg, Institute for Physics, Wind Energy
System Group
D-26111 Oldenburg, Germany

Candidate Profile
A university degree in natural sciences or engineering like physics,
meteorology, mechanical or electrical engineering or a related topic is
required. Profound experience in programming languages, statistics and data
analysis is essential. Good knowledge in atmospheric or engineering physics, in
wind or solar energy, in the usage of measurement data and in the handling of
large data volumes would be an advantage. We expect very good spoken and
written command of English, very good communication skills and the ability to
work in a team of young scientists, but also to work independently
self-organized with a high level of direct responsibility. Furthermore, we
expect the strong willingness to learn the German language.
The PhD Programme offers the opportunity to work in an excellent and
multidisciplinary environment with economists, computer scientists, engineers
and natural scientists. Hence, we are looking for highly motivated talents that
enjoy the cooperation with different disciplines and are highly interested in
Renewable Energies.

The Carl von Ossietzky University of Oldenburg strives to increase the
proportion of women in science, so we especially encourage female candidates to
apply. In accordance to § 21 Section 3 NHG, female candidates with equal
qualifications will be preferentially considered. Handicapped applicants will
be given preference in case of equal qualification. Candidates must not be
older than 28 years at the time of appointment. Child-raising can be accounted
up to two years.

Please send your complete application including a covering letter (inclusive
your motivation and expertise), CV, list of references and publications, copies
of relevant certificates and degrees to the contact person given above
until April 14, 2013. It is very important to quote the relevant reference 
number SEE_07_MJ, SEE_09_MJ, or
SEE_11_MJ as subject of your email or application letter. We encourage you to
add the abstract of your last thesis and your publications.

Further information can be found at,
and Details on the PhD Programme are given at

Attachment: engl_SEE07_09_11_MJ.pdf
Description: engl_SEE07_09_11_MJ.pdf

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