PhD Position / Research Assistant (f/m/d) - Analysis for lidar-based minute-scale power forecas[...]

PhD Position / Research Assistant (f/m/d) – Analysis for lidar‑based minute‑scale power forecasting of Offshore Wind Farms

The increasing share of renewable energy in today's energy system drives the need for continuous power forecasts at the minute scale. Such forecasts are important for ensuring grid stability, reducing costs associated with feed‑in management, and supporting electricity trading.

Responsibilities

• Process large amounts of data by combining lidar measurements, meteorological information, and operational data from wind farms.
• Further develop forecasting methods and implement and validate the developed forecasting algorithms (physics‑based and physics‑informed machine learning) for real‑time applications.
• Analyse the uncertainty of input data and forecasts and develop methods to mitigate or account for these uncertainties.
• Support the operation of extensive offshore measurement campaigns.
• Present scientific results at international conferences and through peer‑reviewed publications.
• Co‑operate closely with researchers at ForWind and other industrial and scientific partners in different research projects.

Qualifications

• Qualifying university master’s degree in Physical Science, Mechanical or Aerospace Engineering, Renewable Energy, or equivalent.
• Profound knowledge and relevant experience in handling and analysing large data sets and statistical analysis.
• Comprehensive skills in measurement techniques and uncertainty estimation.
• Knowledge in forecasting methods and machine learning.
• Extensive programming experience with Python.
• High motivation and the ability to work jointly on a complex research topic.
• Fluency in communicating and reporting in English.

Benefits

• Work in the WindLab – one of the university’s most modern office and lab spaces – with flexible and mobile work options.
• Multidisciplinary cooperation with other researchers at ForWind and Fraunhofer IWES in Oldenburg.
• Direct collaboration with industry while maintaining links with national and international academic partners, including a PhD network.
• Optional secondment at an international research institute.
• Development of personal, scientific, and teaching skills through an individualized training programme and selected teaching tasks.
• Opportunities to present scientific results at international conferences and through peer‑reviewed publications.
• Structured supervision of the PhD process.
• Family‑friendly working environment with a family service centre and on‑campus children’s daycare.
• Employment initially limited to three years, paid according to the collective agreement for the public service in the German federal states (TV‑L E13), 75% position.

Application

Please submit your application via email by to . Include a PDF file containing a letter of motivation, curriculum vitae, grade transcripts, Master’s diplomas, and employment references. An optional second PDF file may contain your Master’s thesis and relevant research papers. Reference number: #ACA125 .