Rakesh Mishra
7 months ago
Advanced design strategies for offshore horizontal-axis wind turbines University of Huddersfield in United Kingdom
Degree Level
PhD
Field of study
Environmental Science
Funding
Full funding availableDeadline
December 31, 2026
Country
United Kingdom
University
University of Huddersfield
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Where to contact
Official Email
Keywords
Environmental Science
Aerodynamics
Mechanical Engineering
Aerospace Engineering
Fluid Mechanics
Wind Energy
Energy Engineering
Aeroacoustics
Surrogate Modeling
Laboratory Experimentation
Machine learning
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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University of Huddersfield – School of Computing and Engineering
Centre of Thermofluids, Energy Systems and High-Performance Computing
?? Aligned with EPSRC’s "Engineering Net Zero" Strategic Priority
????? Supervisory Team:
Dr Hossein Fatahian (Principal Supervisor)
Professor Rakesh Mishra (Co-Supervisor)
?? PhD Project Title:
Advanced Design Strategies for Next-Generation Offshore Horizontal-Axis Wind Turbines
?? Project Overview:
We are offering a fully funded EPSRC Doctoral Training Partnership (DTP) PhD studentship for UK home students, focused on advancing the future of offshore renewable energy.
This project will develop a hybrid CFD–AI–experimental framework to optimize the aerodynamic and aeroacoustic performance of next-generation offshore wind turbine blades using cutting-edge flow control strategies.
Your research will focus on:
? High-fidelity CFD and LES-based blade design
? Integration of active/passive flow control techniques
? Surrogate modelling and AI-driven multi-objective optimization
? Wake structure characterization via Dynamic Mode Decomposition (DMD)
? Wind tunnel experiments for model validation
This is a highly interdisciplinary opportunity, combining fluid dynamics, machine learning, and experimental methods—directly supporting the UK’s Net Zero ambitions and offshore wind energy targets.
?? Ideal Candidate:
We are looking for a motivated and UK-based student with:
? A First Class or Master's degree in Mechanical Engineering, Aerospace Engineering, Renewable Energy, or related disciplines
? Strong background in fluid mechanics, aerodynamics, or wind energy systems
? Hands-on experience with CFD tools (e.g., ANSYS Fluent, OpenFOAM)
?? Desirable: knowledge of machine learning, surrogate modelling, MATLAB/Python, and experimental fluid dynamics
?? Start Date: October 2025
?? How to Apply:
Interested applicants should contact Dr Hossein Fatahian :
?? [email protected]
Or apply via the University of Huddersfield’s postgraduate portal:
?? https://lnkd.in/eM4EvHpj
# PhDOpportunity # EPSRC # FundedPhD # DTPStudentship # UKPhD # EngineeringPhD
# WindEnergy # RenewableEnergy # NetZero # CFD # AIinEngineering # OffshoreWind
# SustainableEngineering