PhD Researcher in Wind Energy Data Processing

vor 4 Wochen

Hannover, Niedersachsen, Deutschland Carl von Ossietzky Universität Oldenburg, ForWind - Zentrum für Windenergieforschung Vollzeit
Job Description

The main objective of this PhD project is to develop advanced data processing methods for remote sensing systems, meteorological devices, and wind turbines. This will involve gaining a scientific understanding and enabling new business cases for the operation of wind farms.

The project will involve:

  • 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.
Job Offer

We offer 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 also having the opportunity to do flexible and mobile work.

Your pathway towards the PhD is actively supported by:

  • multidisciplinary cooperation with other researchers at ForWind and Fraunhofer IWES in Oldenburg.
  • direct collaboration with industry while maintaining links with national and international partners in academia.
  • optional secondment at an international research institute.
  • development of personal, scientific, and teaching skills through an individual training program 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 the PhD process.
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 Qualifications

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.
  • good German skills.
Benefits

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.

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

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