Company/Organization: University of Oldenburg – ForWind – Center for Wind Energy Research
Country: Germany
City: Oldenburg
Application Deadline: 2024-10-27
Job Weblink: https://uol.de/en/job/phd-position-research-assistant-data-scientist-for-wind-farms-meteorology-and-remote-sensing-161
Job Description: 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.
Contact Informations:
Name: Prof. Dr. Martin Kühn
E-Mail: martin.kuehn@uol.de
Phone: +49(0)441/798-5061
Website: https://uol.de/en/physics/research/we-sys