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

PostDoc Position / Research Assistant Adaptive and Robust Control of Wind Farms

Paygrade E13 TV-L
Working Hours100% (suitable for part-time)
InstitutionForWind - Center for Wind Energy Research (School of Mathematics and Natural Sciences)
LocationOldenburg (Oldb)
Application Deadline11.08.2026
First day of workas soon as possible
Limitedinitially limited until 31 March 2029

About us

Wind energy research at the University of 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 degree (diploma or master’s) 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 standards

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 .

Apply now

Please send your application via e-mail by 11.08.2026 to

Please submit your application preferred electronically as one PDF file and include reference #UN129.

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.

Benefits at University of Oldenburg

30 days vacation

Secure remuneration according to collective agreement

Company pension scheme

Further education opportunities

Flexible working hours

Health management

Remote working

Compatibility of career and family

Support with childcare

University Sports Centre

Certificate Bicycle-friendly employer

Corporate Benefits



Back to list

How to apply

  1. Click on the button below to access the login form of our application portal.
  2. If you have not already done so, please first click on REGISTER to create a user account.
    • We askinternal applicants to register as applicants with a private e-mail address. The university's official e-mail address is reserved for those working on an appointment committee.
  3. Once you have registered, you can log in with your access data and then start your application.

Start your application now

Internetkoordinator (Changed: 24 Jun 2026)  Kurz-URL:Shortlink: https://uol.de/job1168en
Zum Seitananfang scrollen Scroll to the top of the page

This page contains automatically translated content.