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CFD Jobs Database - Job Record #19402

Job Record #19402
TitlePhD position / Research assistant (f/m/d) - Data scientsist
CategoryJob in Academia
EmployerForWind - University of Oldenburg
LocationGermany, Niedersachsen, Oldenburg
InternationalYes, international applications are welcome
Closure DateSunday, October 27, 2024
Description:
ForWind – Center for Wind Energy Research has a vacancy in the research 
group »Wind Energy Systems« at the Institute of Physics of the Carl 
von Ossietzky Universität Oldenburg starting as soon as possible for a

PhD Position / Research Assistant (f/m/d)
Data scientist for wind farms, meteorology and remote sensing
(E13 TV-L, 75 %)

Analysing and interpreting measurement data is becoming increasingly 
important for the wind industry. Modern data processing methods pave the way 
to a deeper understanding and more efficient operation of wind turbines and 
wind farms. In particular, remote sensing devices like lidar or radar 
can estimate complex meteorological conditions and the flow field around 
wind farms. Data fusion with operational data recorded at the turbines can 
be used for new predictive control techniques, validating control 
strategies, and mining data in real-time or historic analyses. 

Job description

The main aim of your PhD project is to further develop data processing 
methods for remote sensing systems, meteorological devices, and wind 
turbines gaining a scientific understanding and enabling new business cases 
for the operation of wind farms. A multidisciplinary team of wind energy 
experts will be available for support and guidance throughout the project.

Among others, your tasks will comprise:
•	processing and analysing large amounts of data by combining 
lidar measurements, meteorological information, and operational wind farm 
data,
•	developing new forecasting approaches, advanced wind 
field reconstruction methods and machine learning or hybrid 
approaches (combining physical and statistical modelling),
•	deriving uncertainty quantification by virtual lidar measurements 
in large-eddy simulations,
•	implementing and validating developed algorithms for 
real-time application
•	cooperating closely with a wind farm operator and researchers 
performing high-fidelity simulations, offshore measurements and dispatch optimisation of offshore wind farm power.

Job offer 

We offer you the opportunity to develop your scientific career in a young 
and lively academic environment. You will be working in the WindLab – one of 
the university's most modern office and lab spaces – while you will also 
have the opportunity to do flexible and mobile work. Your pathway towards 
the PhD is actively supported by, e.g., 
•	multidisciplinary cooperation with other researchers at ForWind 
and Fraunhofer IWES in Oldenburg,
•	direct collaboration with industry while maintaining the links with 
our national and international partners in academia,
•	optional secondment at an international research institute 
•	development of personal, scientific, and teaching skills through 
an individual training programme and selected teaching tasks,
•	opportunities to present scientific results at international 
conferences and through peer-reviewed publications to extend your 
specific network,
•	structured supervision of PhD process. 
The employment is initially limited to three years with an intention to 
further prolong up to four years to facilitate a PhD. The payment is based 
on the collective agreement for the public service in the German federal 
states, TV-L E13, for a 75 % position.
Candidate profile
Requirements for employment include:
•	a qualifying university master’s degree in physical 
sciences, Meteorology, Mechanical or Aerospace Engineering, Wind Energy, 
Wind Engineering, Remote Sensing or equivalent, 
•	aptitude and willingness to pursue a PhD,
•	profound knowledge of experimental or numerical fluid dynamics 
and statistical analysis of large data amounts, 
•	extensive experience in programming with at least Matlab or Python,
•	high motivation and ability to jointly work on applied research topics,
•	very good English skills.
Desired (but not mandatory) qualifications are: 
•	experience in handling meteorological measurement data
•	knowledge of data processing in the context of wind energy systems,
•	willingness to support the preparation of outdoor measurement 
campaigns, installation of measurement equipment, including working at high altitudes and offshore conditions.
•	experience abroad of several months during school, study period 
or employment after graduation,
•	and good German skills.

The Carl von Ossietzky Universität Oldenburg strives to increase the 
proportion of women in science. Therefore, women are strongly encouraged 
to apply. In accordance with § 21, para. 3 NHG, female applicants will be 
given preferential consideration in the case of equivalent 
qualifications. Severely disabled persons will be given preference in the 
case of equal suitability.
Further, the university cares for a family-friendly working environment 
and offers a family service centre and children's daycare on campus.
Research environment at ForWind – Carl von Ossietzky Universität Oldenburg
Wind energy research at the Carl von Ossietzky Universität Oldenburg has 
gained international recognition by its integration into ForWind – Center 
for Wind Energy Research of the Universities of Oldenburg, Hannover and 
Bremen and the national Wind Energy Research Alliance of the German 
Aerospace Center (DLR), Fraunhofer Institute for Wind Energy Systems (IWES) 
and ForWind. 
At ForWind, we maintain and value collaboration between our research groups 
and partner institutions such as the European Academy of Wind Energy members. 
In Oldenburg, our 50 researchers from physics, meteorology and engineering 
are collaborating at the »Research Laboratory for Turbulence and Wind 
Energy Systems« centred on wind physics. Our mission is to develop an 
improved understanding of atmospheric and wind power plant flow physics 
required to serve the global demand for clean and affordable electricity. Therefore, we conduct laboratory experiments, free-field measurements and 
HPC-based numerical simulations. The main topics include the description 
and modelling of wind turbulence, the analysis of interactions of 
turbulent atmospheric wind flow and wind energy systems, as well as control 
of wind turbines and wind farms. The covered scales range from 
small-scale turbulence up to meteorological phenomena. Our research 
facilities comprise three turbulent wind tunnels, various equipment for 
free-field measurements at on- and offshore wind farms and a 
high-performance computing cluster. Almost all our projects combine analyses 
at more than one of these infrastructures. For instance, virtual 
lidar measurements can be performed in simulated three-dimensional flow 
fields to verify the analysis algorithms. Our multi-lidar systems, equipped 
with up to three scanning lidars, are particularly important for the abovementioned research.
Contact
For questions regarding this job opportunity, please contact Prof. Dr. 
Martin Kühn at +49(0)441/798-5061 or preferably by email at 
martin.kuehn@uol.de. Further information is available at www.forwind.de/en/ 
and https://uol.de/en/physics/research/we-sys. 
Please submit your application electronically as one PDF file by 27.10.2024 
to wesys.bewerbungen@uni-oldenburg.de and include reference #CFD108.
The pdf file must include either in English or German:
•	A letter motivating your application. 
•	Curriculum vitae 
•	Grade transcripts and BSc/MSc diploma
•	Employment references
•	A one-page research statement. You are requested to present your 
notion of the field of the advertised PhD topic and some initial ideas 
for tackling it. 
A second PDF file containing your Master Thesis or relevant research papers 
(if available) is an optional attachment.
We are looking forward to receiving your application

Contact Information:
Please mention the CFD Jobs Database, record #19402 when responding to this ad.
NameProf. Dr. Martin Kühn
Emailmartin.kuehn@uni-oldenburg.de
Email ApplicationYes
Phone+494417985061
URLhttp://www.forwind.de
Record Data:
Last Modified13:24:59, Tuesday, October 08, 2024

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