Publisher
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Carl von Ossietzky Universität Oldenburg

Postdoc Position in Adaptive and Robust Wind Farm Control (Wind Energy / Control Engineering) Carl von Ossietzky Universität Oldenburg in Germany

Degree Level

Postdoc

Field of study

Environmental Science

Funding

Full-time postdoctoral position (TV-L E13, 100%) initially limited until 31 March 2029. Secure remuneration according to the collective agreement, 30 days of vacation, company pension scheme, further training opportunities, flexible working hours, health management, mobile working, and support with childcare are mentioned.

Deadline

Expired

Country flag

Country

Germany

University

Carl von Ossietzky Universität Oldenburg

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Keywords

Environmental Science
Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Mathematics
Grid Integration
Robust Control
Uncertainty Analysis
Physics

About this position

ForWind – Center for Wind Energy Research is advertising a Postdoc Position / Research Assistant (f/m/d) in Adaptive and Robust Control of Wind Farms at Carl von Ossietzky Universität Oldenburg, Germany.

The role sits in the WESys research group and focuses on wind energy systems, control engineering, wind turbine dynamics, wake interaction, grid integration, and experimental validation. The successful candidate will design and validate control algorithms for wind turbines and wind farms that can balance multiple objectives such as power maximisation, system services, and structural load or noise reduction.

Research tasks include simulation-in-the-loop studies on an HPC cluster, followed by testing in wind tunnel or open-field settings. The postdoc will also coordinate collaborative work in a project involving industrial and academic partners. Depending on background and interests, the work may align with either Project A: loads-aware wind farm control and lifetime optimisation or Project B: control in complex terrain, uncertainty quantification, and improved grid integration.

The position is full-time (TV-L E13, 100%) and is initially limited until 31 March 2029. The post includes access to turbulent wind tunnels, offshore and onshore field measurement infrastructure, the DLR research wind farm WiValdi, multidisciplinary collaboration with ForWind and Fraunhofer IWES, modern office/lab space at WindLab Oldenburg, flexible/mobile working, and 30 days of vacation.

Eligibility highlights: applicants should have a qualifying master’s degree in Control, Mechanical or Aerospace Engineering, Physical Sciences, Wind Energy, Renewable Energy or equivalent, plus a PhD in Mechanical Engineering, Physics or equivalent, preferably related to wind turbine or wind farm control. Strong control engineering knowledge, programming skills in Matlab or Python, very good English, and motivation for applied research are required. Experience with wind energy, several months abroad, and German skills are desirable.

Application deadline: 11 August 2026. Apply electronically by sending one PDF file to [email protected] with reference #WEB129. The application should include a motivation letter, CV, one-page research statement, transcripts, BSc/MSc and PhD diplomas, and employment references. An optional second PDF with a dissertation or relevant research papers may also be submitted.

Funding details

Full-time postdoctoral position (TV-L E13, 100%) initially limited until 31 March 2029. Secure remuneration according to the collective agreement, 30 days of vacation, company pension scheme, further training opportunities, flexible working hours, health management, mobile working, and support with childcare are mentioned.

What's required

Applicants should have a qualifying university master’s degree in Control, Mechanical or Aerospace Engineering, Physical Sciences, Wind Energy, Renewable Energy or an equivalent field, and a PhD in Mechanical Engineering, Physics or an equivalent discipline, preferably related to control of wind turbines or wind farms. Required are profound knowledge of control engineering, extensive programming experience with at least Matlab or Python, high motivation, ability to work jointly on applied research topics, and very good English skills. Desired but not mandatory are experience with wind energy topics such as wind turbine dynamics, wind turbine control, wake interaction, and wind farm control, several months of experience abroad during school/study/employment, and good German skills.

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Professors

Prof. Dr.

University Name
Country flag

Germany

Research Interests

Aerodynamics

Energy Engineering

Wind Engineering

Large Eddy Simulation

Lidar Technology