PhD Position ​/ Research Assistant Multi-Objective Wind Farm Control

Overview of vacancies

The University of Oldenburg is seeking to fill the following position:

Paygrade E13 TV‑L Working Hours 75% Institution For Wind - Center for Wind Energy Research (School of Mathematics and Natural Sciences) Location Oldenburg (Oldb) Final date to receive applications 11.08.2026 First day of work as soon as possible Limited initially limited to three years

Wind energy research at the Carl von Ossietzky Universität Oldenburg has gained international recognition by its integration into For Wind – Center for Wind Energy Research of the Universities of Oldenburg, Hannover and Bremen and the national Wind Energy Research Alliance of the German Aerospace Center (DLR), Fraunhofer Institute for Wind Energy Systems (IWES) and For Wind.

At For Wind, we maintain and value collaboration between our research groups and partner institutions such as the European Academy of Wind Energy members. In Oldenburg, our 50 researchers from physics, meteorology and engineering are collaborating at the Wind Lab centred on wind physics. Our mission is to develop an improved understanding of atmospheric and wind power plant flow physics required to serve the global demand for clean and affordable electricity.

Therefore, we conduct laboratory experiments, free‑field measurements and HPC‑based numerical simulations. Our research facilities comprise three turbulent wind tunnels with fully controlled model wind turbines and wind farms of different sizes, various equipment for free‑field measurements at on‑and offshore wind farms and a high‑performance computing cluster for atmospheric flow simulations. We have direct access to the DLR research wind farm WiValdi (), where among others, control experiments on two utility‑scale wind turbines are conducted.

Almost all our projects combine analyses at more than one of these infrastructures.

Further information is available at  and

With your strong background in control engineering, you will be designing control algorithms for wind turbines and wind farms that can accommodate various objectives, from improving the grid integration, power maximisation, to load reduction. You will be collaborating with other group members working on wind farm control, high‑fidelity simulations, inflow modelling and estimation. Furthermore, you will participate in planning of wind tunnel and field experiments for validation of developed control algorithms.

Depending on your preferences and previous experiences, your tasks will be related to one of the following projects:

• Loads‑aware wind farm control for addressing different control objectives
• Adaptation of the control algorithm to changing wind farm characteristics, operational goals and load limits
• Integration of wind farm control within the control framework for the lifetime optimisation of the wind farm value

• Wind turbine and wind farm control in complex terrains
• Uncertainty quantification of measurement signals and robust wind farm control
• Improved integration of wind turbine control with the wind farm controller
• Improved grid integration, including short‑term and mid‑term power boosting

Additionally, you will support the group in its organisational and teaching activities.

• a qualifying university degree (diploma or master's) in Control, Mechanical or Aerospace Engineering, Physical Sciences, Wind Energy, Renewable Energy or equivalent,
• aptitude and willingness to pursue a PhD with numerical and experimental aspects,
• profound knowledge of control engineering,
• 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.

• experience with wind energy: wind turbine dynamics, wind turbine control, wake interaction, wind farm control,
• experience abroad of several months during the school, study period or employment after graduation,
• and good German skills.

We offer you the opportunity to develop your scientific career in a young and lively…