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

Paygrade E13 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 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 ( ), 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 . 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 Olde