PhD Scholarship in Wind Farm Wake Aerodynamics Modeling

This PhD project will explore advanced data-driven methods to accelerate the green transition by providing fast and accurate modeling of wind farm wake aerodynamics, which occurs as large wind turbines interact with the complex atmosphere. Are you eager to explore advanced machine-learning techniques and enthusiastic about accelerating the green energy...

About This PhD ProjectThis research project aims to develop advanced data-driven methods for accelerating the green energy transition by providing fast and accurate modeling of wind farm wake aerodynamics. The goal is to improve our understanding of the complex interactions between large wind turbines and the atmosphere.Research ObjectivesDevelop efficient...

Job DescriptionThis PhD project aims to accelerate the green transition by developing fast and accurate models of wind farm wake aerodynamics using advanced data-driven methods.Develop efficient dimension reduction methods to approximate wind farm flows across various operational and atmospheric conditions.Generate synthetic turbulence based on stochastic...

Salary and BenefitsThe PhD scholarship will be based on the collective agreement with the Danish Confederation of Professional Associations.We offer a competitive salary and a range of benefits, including opportunities for professional development and collaboration with international researchers.

Job DescriptionWe are seeking a highly motivated and talented PhD researcher to join our team focused on developing innovative solutions for wind farm design optimization using Artificial Intelligence (AI). As a key member of our research group, you will be responsible for investigating the potential of combining Machine Learning based surrogate modeling...

We invite applications for a PhD student position in Wind Farm Control (WFC) Optimization, focusing on Reinforcement Learning (RL) techniques. This role offers a chance to work on cutting-edge research in wind energy, developing and testing novel AI-driven algorithms for WFC.You will be part of the IntelliWind Doctoral Network, which provides training for a...

Research ProjectWe invite applications for a PhD position focused on the topic of AI augmented design optimization of wind farms. The project aims to develop a framework/methodology to better integrate AI into the workflow of wind farm design optimization.ObjectivesTo investigate the potential of combining Machine Learning based surrogate modeling with AI...

We are seeking a candidate for a 3-year PhD program as part of the European Marie Sk'lodowska-Curie Actions Doctoral Network on Airborne Wind Energy TRAining for Industrialization Network (AWETRAIN).Airborne Wind Energy (AWE) is a radical new technology based on tethered aircraft generating electricity from altitudes higher than conventional wind...

Advanced PhD Scholarship in Magnetics ResearchWe offer an exciting opportunity for a talented PhD student to pursue research in magnetics and advance their knowledge in this field. As a PhD scholar, you will receive comprehensive training and support to ensure your success.About the OpportunityThis PhD scholarship is designed to support research in magnetics...

Wind energy is a vital component in the global transition to low-carbon energy sources. To further optimize wind farm control, we are seeking a highly skilled PhD candidate with expertise in reinforcement learning. The successful applicant will develop and test new AI-driven algorithms for wind farm control, emphasizing accuracy, reliability, and...