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# Research Associate for Machine Learning Modelling for Next-Level Fast Nonlinear Wave-Structure Interaction

- **Company:** The University of Manchester
- **Location:** Manchester, UK
- **Contract:** Permanent contract
- **Skills:** Computer Simulation, Computer Programming, Machine Learning, Software Tools, Data Analytics
- **Published:** August 22, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb510796036a338a7c9b5b43052215bb2e/eaa

## About the Role

We are looking for an enthusiastic and motivated researcher with, or close to completing, a PhD in fluid mechanics, applied mathematics, ocean or offshore engineering, mechanical engineering, physics or a related discipline. Sound knowledge of the governing equations of fluid mechanics and of linear, second-order or nonlinear wave interaction with floating or moored bodies is essential. Applicants should also have strong analytical and scientific-programming skills, practical experience of computational model development, and an interest in applying machine-learning or data-driven methods to physical systems. Experience of QTFs, BEM software, reduced-order modelling, multidirectional waves, floating-platform or mooring dynamics, or higher-order hydrodynamics would be advantageous.

## Description

This 36-month component addresses nonlinear wave input, second-order drift forcing and higher-order platform and mooring response through analytical and computational hydrodynamics, BEM calculations and reduced-order modelling. Irregular and multidirectional wave fields will be considered, together with full quadratic transfer functions (QTFs), wave forces and platform motions. Machine-learning and other data-driven techniques may be used selectively where they provide additional efficiency or insight.
The project is funded by the Engineering and Physical Sciences Research Council and led by the University of Manchester. It will be undertaken with academic collaborators, an aligned postgraduate researcher and industrial partners in offshore renewables and engineering software.
The overall project aim is to produce fast, physically interpretable models that retain important nonlinear wave effects and identify the conditions in which they become important for design. The resulting models, software and datasets will be developed for research use and eventual integration into offshore engineering design tools.
Purpose of the Job
The successful candidate will develop and run analytical and computational models of nonlinear waves, floating-body hydrodynamics and wave-structure interaction. They will use BEM and related tools to calculate and interpret hydrodynamic coefficients, QTFs, wave forces and platform motions; develop efficient reduced-order models; integrate the resulting methods with an existing coupled floating-platform code; and verify and validate the models using suitable numerical, experimental and field data. They will publish the research, present at major conferences, contribute to postgraduate supervision or co-supervision, and work closely with academic collaborators and industrial partners.


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