Germany Job Openings

Carl von Ossietzky Universität Oldenburg

PhD Position / Research Assistant, Data scientist for wind farms, meteorology and remote sensing

Oldenburg (Oldenburg)

October 16, 2024

Vergütung
E13

Stellenumfang
75%

Einrichtung
School V of Mathematics and Science, Institute of Physics, For Wind – Center for Wind Energy Research, research group »Wind Energy Systems«

Ort
Oldenburg (Old)

Bewerbungsfrist
27.10.2024

Beschäftigungsbeginn
zum nächstmöglichen Zeitpunkt

Befristet
to three years

Über uns

Research environment at For Wind – University of Oldenburg
Wind energy research at the University of Oldenburg has gained international recognition by its integration into For Wind – 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 For Wind.

At For Wind, 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.

Ihre Aufgaben

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 Ph D 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 Wind Lab – 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 Ph D is actively supported by, e.g.,

multidisciplinary cooperation with other researchers at For Wind 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 Ph D process.

Ihr Profil

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 Ph D,
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.

Unser Anspruch

Die Carl von Ossietzky Universität Oldenburg strebt an, den Frauenanteil im Wissenschaftsbereich zu erhöhen. Deshalb werden Frauen nachdrücklich aufgefordert, sich zu bewerben. Gemäß § 21 Abs. 3 NHG sollen Bewerberinnen bei gleichwertiger Qualifikation bevorzugt berücksichtigt werden. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.

Weitere Informationen

The employment is initially limited to three years with an intention to further prolong up to four years to facilitate a Ph D.

The university cares for a family-friendly working environment and offers a family service centre and children's daycare on campus.

Kontakt:

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.

Bitte senden Sie bis zum 27.10.2024 Ihre Bewerbung per E-Mail an

wesys.bewerbungen@uni-oldenburg.de

Please submit your application preferably electronically as one PDF file to University of Oldenburg, Faculty V, Institute of Physics, For Wind - Center for Wind Energy Research, Research Group Wind Energy Systems, Prof. Dr. Martin Kühn, Küpkersweg 70, 26129 Oldenburg, Germany, and include reference #UN108.
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 Ph D 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.

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