PhD Position / Research Assistant, Data scientist for wind farms, meteorolo

at  Carl von Ossietzky Universitt Oldenburg

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.

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 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.

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 PhD.
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, ForWind - 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 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

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

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