PostDoc Position / Research Assistant (f/m/d) Adaptive and Robust Control of Wind Farms

Working Hours 100% (suitable for part-time work)

Institution ForWind - Center for Wind Energy, research group Wind Energy Systems, team Controls

Location Oldenburg (Oldb)

Application Deadline 11.08.2026

First day of work As soon as possible

Limited initially limited until 31 March 2029

Your benefits

Secure remuneration according to collective agreement

30 days of vacation

Company pension scheme

Further training opportunities

Flexible working hours

Health management

Mobile working

Compatibility of career and family

Support with childcare

University Sports Centre

About Us

Wind energy research at the Carl von Ossietzky Universität Oldenburg has gained international recognition by its integration into ForWind - 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 ForWind.

At ForWind, 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 WindLab 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 (https://windenergy-researchfarm.com), 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 www.forwind.de/en/ and https://uol.de/en/physics/research/we-sys.

Your tasks

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 or noise reduction. A particular focus will be on the validation of control algorithms under uncertain and varying conditions. First, you will employ our HPC cluster for simulation-the-loop studies. In collaboration with other group members, you will design and execute a testing campaign employing one of our dedicated research infrastructures, i.e. wind tunnel testing or open field experiments. Furthermore, you will coordinate the work of our research group in a project with industrial and academic partners.

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

Project A

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

Project B

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.

Your profile

Requirements For Employment Include

a qualifying university master's degree in Control, Mechanical or Aerospace Engineering, Physical Sciences, Wind Energy, Renewable Energy or equivalent,

PhD in Mechanical Engineering, Physics or equivalent, preferably related to control of wind turbines or wind farms,

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.

Desired (but Not Mandatory) Qualifications Are

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

We offer you 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 you will also have the opportunity to do flexible and mobile work. You will be actively supported by, e.g.,

multidisciplinary cooperation with other researchers at ForWind and Fraunhofer IWES in Oldenburg,

direct collaboration with industry while maintaining the links with our national and international partners in academia,

optional secondment at an international research institute

development of personal, scientific, and teaching skills through an individual training programme and selected teaching tasks,

opportunities to present scientific results at international conferences and through peer-reviewed publications to extend your specific network.

The employment is initially limited to the end of the research project on 31 March 2029. The payment is based on the collective agreement for the public service in the German federal states, TV-L E13, for a full position.

Our standardsts

The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to

• 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Contact For questions regarding this job opportunity, please contact Prof. Dr. Martin Kühn at +49(0)441/798-5061 or preferably by email at [email protected]. Apply now Please submit your application electronically as one PDF file by 11.08.2026 to [email protected] and include reference #ACA129. The pdf file must include either in English or German: A letter motivating your application Curriculum vitae A one-page research statement. You are requested to present your notion of the field of the advertised position and some initial ideas for tackling two of the tasks listed above. You may refer to tasks from only one or to both projects. Grade transcripts, BSc/MSc and PhD diplomas Employment references A second PDF file containing your dissertation or relevant research papers is an optional attachment. We are looking forward to receiving your application. www.uol.de