CFD Postdoc: Floating Offshore Wind & ML Surrogates

RFCSR; Oxford; On-site; GBP 39,000 - 48,000; Full time

Job summary

RFCSR in Oxford's Department of Engineering Science invites applications for a Postdoctoral Research Assistant in floating offshore wind. The role focuses on high‑fidelity CFD simulations of floating wind turbines, employing actuator‑line models, and on developing data‑driven surrogate models for real‑time aerodynamic loads in experimental setups.

The successful candidate will contribute to machine learning surrogates and hybrid testing methodologies, collaborating within a multidisciplinary

Qualifications

• A solid background in computational fluid dynamics (CFD) and wind turbine fluid mechanics is essential.
• Experience with data-driven modelling techniques and high-performance computing will support surrogate model development.
• Strong analytical skills and the capacity to work collaboratively within a multidisciplinary research group.

Responsibilities

• Conduct high-fidelity CFD simulations of floating wind turbines using actuator-line methods.
• Assess applicability of reduced-order models for turbine performance prediction and support development of surrogate models for real-time loads.
• Collaborate within a multidisciplinary group to advance hybrid testing and understanding of floating offshore wind dynamics.

Skills

CFD

Wind turbine fluid mechanics

Data-driven modelling

High-performance computing

Analytical skills

Team collaboration

Education

PhD (or near completion) in engineering/related

Job description

RFCSR in Oxford's Department of Engineering Science invites applications for a Postdoctoral Research Assistant in floating offshore wind. The role focuses on high‑fidelity CFD simulations of floating wind turbines, employing actuator‑line models, and on developing data‑driven surrogate models for real‑time aerodynamic loads in experimental setups.

The successful candidate will contribute to machine learning surrogates and hybrid testing methodologies, collaborating within a multidisciplinary