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Fully Funded PhD in Engineering, University of Galway, Ireland

3 months ago


Dublin, Dublin City, Ireland Scholarshipscafe Full time
Fully Funded PhD in Engineering, University of Galway, Ireland

I am seeking a strong, highly motivated candidate to join my research team at the University of Galway, as a PhD researcher for conducting high-fidelity aeroelastic analysis of wind turbines.

Role Description
Funded by the University of Galway - College of Science and Engineering, this 4-year full-time structured PhD project offers an opportunity for the successful candidate to work under the supervision of Dr Pedram Khaneh Masjedi. Through this project, the candidate will gain valuable expertise in aeroelasticity, Fluid-Structure-Interaction (FSI), and wind energy engineering.

Living allowance (Stipend): €22,000 per annum, for four years
University Fees: The funding will cover university fees for four years.
Start date: September 2024

Project Focus
This research aims to develop an efficient high-fidelity numerical tool using reduced order modelling techniques, able to capture the complicated nonlinear aeroelastic behaviour of wind turbine blades. This project will couple the geometrically exact beam model and CFD tools such as OpenFOAM to establish a high-fidelity aeroelastic analysis tool. Consequently, it will leverage deep learning techniques to develop efficient and accurate reduced-order models.

Required Skills and Qualifications

Masters Degree (MSc or MEng, minimum 2:1) in Aeronautical/Aerospace Engineering, Mechanical Engineering, Civil Engineering or closely related fields.

Prior experience in computational modelling of Fluid-Structure-Interaction (FSI) problems and aeroelasticity.

A solid understanding of numerical methods in fluid and structural dynamics and proficiency in applying these methods using languages such as Python, Julia, MATLAB, Fortran, or C/C++.

Demonstrated ability to conduct independent research and contribute to scientific knowledge in relevant fields and a track record of publishing research findings in peer-reviewed journals.

Applications should be submitted via email to Dr Pedram Khaneh Masjedi ) and must include:

A current academic CV
A motivation letter explaining why you are suited to this position
Documentation demonstrating English language proficiency, degree, and transcripts

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