Position Overview
KU is seeking a highly motivated Post-doctoral Fellow to work on predicting the behavior and properties of the turbulent air wake behind a ship's superstructure as a fundamental problem in fluid mechanics.
This study can potentially have a wide-ranging impact on the improvement of helicopter operation envelopes on existing maritime (ship-helo) systems, and major considerations in new ship designs. Based on the wake state data from the wind tunnel experiments and numerical simulations, a predictive model of the air wake behavior will be created using advanced Machine Learning methods, such as Genetic Programming, Variable Neighborhood Search, and others.
The post-doctoral fellow will lead the effort in obtaining high-fidelity data on the airwake from wind tunnel experiments and/or CFD and will be responsible for analyzing the data and creating a reduced-order-model (ROM) of the flow, which will be suitable for the prediction of the flow by a sparse sensor array.
As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the new KU Low-Speed Wind tunnel facility and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.
The contract is initially for a duration of 1 year, but can be renewed for 1 more year, subject to the employee's performance appraisal.
Position Requirements
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