ML-Powered Nonlinear Wave Modelling Research Associate

Diversity Dashboard; Manchester; Hybrid; GBP 34,000 - 52,000; Full time

Benefits offered by this job

Pension scheme

Employee health services

Annual leave

Job summary

The University of Manchester is seeking a highly motivated researcher to develop analytical and computational models of nonlinear waves and floating-platform hydrodynamics. You will use BEM and related tools to calculate hydrodynamic coefficients, QTFs, wave forces and platform motions, and develop efficient reduced-order models.

You will publish results, present at conferences, and collaborate with academic partners and industrial collaborators in offshore renewables.

Qualifications

• Sound knowledge of fluid mechanics and wave interaction with floating or moored bodies.
• Strong analytical and scientific programming skills.
• Experience with computational model development and data-driven methods beneficial.

Responsibilities

• Develop and run analytical and computational models of nonlinear waves and floating-body hydrodynamics.
• Use BEM and related tools to calculate hydrodynamic coefficients, QTFs, wave forces and motions.
• Develop reduced-order models and integrate methods into existing coupled codes.
• Publish research and participate in conferences; supervise postgraduate researchers.

Skills

Computational modelling

Programming

Machine learning interest

Analytical thinking

Education

PhD in fluid mechanics or offshore engineering

Tools

BEM software

MATLAB

Job description

The University of Manchester is seeking a highly motivated researcher to develop analytical and computational models of nonlinear waves and floating-platform hydrodynamics. You will use BEM and related tools to calculate hydrodynamic coefficients, QTFs, wave forces and platform motions, and develop efficient reduced-order models.

You will publish results, present at conferences, and collaborate with academic partners and industrial collaborators in offshore renewables.