PhD Researcher in Wind Energy Data Processing
Vor 3 Tagen
We are seeking a highly motivated PhD researcher to join our team at the Carl von Ossietzky Universität Oldenburg, ForWind - Zentrum für Windenergieforschung. The successful candidate will work on developing data processing methods for remote sensing systems, meteorological devices, and wind turbines.
Key Responsibilities:
- Processing and analyzing 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.
- Deriving uncertainty quantification by virtual lidar measurements in large-eddy simulations.
- Implementing and validating developed algorithms for real-time application.
- Closely cooperating with a wind farm operator and researchers performing high-fidelity simulations, offshore measurements, and dispatch optimization of offshore wind farm power.
Requirements:
- 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 Qualifications:
- 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.
- Good German skills.
What We Offer:
- The opportunity to develop your scientific career in a young and lively academic environment.
- Work in the WindLab, one of the university's most modern office and lab spaces.
- Flexible and mobile work.
- Active support for your PhD pathway.
- Structured supervision of the PhD process.
- Opportunities to present scientific results at international conferences and through peer-reviewed publications.
How to Apply:
- Please submit your application electronically as one PDF file by [date] to [email address].
- Include a letter motivating your application, curriculum vitae, grade transcripts and BSc/MSc diploma, employment references, and a one-page research statement.
- A second PDF file containing your Master Thesis or relevant research papers (if available) is an optional attachment.
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