Martin Kühn

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.

ForWind Oldenburg is advertising a PhD position / Research Assistant (f/m/d) in Multi-Objective Wind Farm Control at Carl von Ossietzky Universität Oldenburg , Germany. The position sits in the WESys research group and is part of the broader ForWind Center for Wind Energy Research, with close links to Fraunhofer IWES, DLR, and international partners. This opportunity is aimed at candidates with a strong background in control engineering and related fields such as mechanical engineering , aerospace engineering , physics , wind energy , and renewable energy . The research focuses on designing wind farm control algorithms that balance power output , system services , and structural load reduction . Depending on your background and interests, you may work on either loads-aware wind farm control and lifetime optimisation or control in complex terrain, uncertainty quantification, and improved grid integration . The role includes collaboration on high-fidelity simulation, inflow estimation, wind tunnel experiments, and field experiments at the DLR research wind farm WiValdi . The research environment is highly experimental and computational, with access to wind tunnels, free-field measurements, and HPC-based simulations. The position is designed as a structured PhD pathway with supervision, training, teaching opportunities, and an international PhD network. Funding and conditions: TV-L E13, 75% employment. The appointment is initially for 3 years with the intention to extend to 4 years. Benefits include flexible and mobile working, 30 days of vacation, company pension scheme, family-friendly support, and access to university sports and childcare services. Eligibility highlights: a qualifying master’s degree, strong control engineering knowledge, programming experience in Matlab or Python, very good English, and motivation for numerical and experimental research. German is not required, though it is a plus. Deadline: 11 August 2026. Applications must be submitted electronically as a single PDF, with an optional second PDF for thesis or relevant papers.