Research Associate - Nonlinear Wave & Hydrodynamics

The University of Manchester; Manchester; Hybrid; GBP 36,000 - 52,000; Full time

Benefits offered by this job

Pension scheme

Health and wellbeing services

Annual leave & holidays

Christmas closure

Discounts

Hybrid working possible

Job summary

The University of Manchester invites applications for a research-focused position addressing nonlinear wave input, second-order drift forcing and higher-order platform response. The successful candidate will develop analytical and computational models using BEM, QTFs and reduced-order techniques, interfacing with an established floating-platform code and validating against data.

Applicants should hold or be nearing a PhD in fluid mechanics or a related field, with strengths in programming and

Qualifications

• PhD in fluid mechanics or a closely related discipline or nearing completion.
• Strong analytical and programming skills for modelling and data analysis.
• Experience with nonlinear wave-structure interaction and hydraulics is advantageous.

Responsibilities

• Develop and run analytical and computational models of nonlinear waves and floating-body hydrodynamics.
• Use BEM and related tools to compute hydrodynamic coefficients, QTFs, wave forces and motions.
• Develop efficient reduced-order models and integrate with existing coupled codes.
• Verify and validate models with numerical, experimental and field data.
• Publish results, present at conferences, and contribute to supervision and collaborations.

Skills

Analytical skills

Scientific programming

QTFs

BEM software

Reduced-order modelling

Multidirectional waves

Floating-platform dynamics

Mooring dynamics

Higher-order hydrodynamics

Education

PhD in fluid mechanics or related field

Tools

BEM software

Job description

The University of Manchester invites applications for a research-focused position addressing nonlinear wave input, second-order drift forcing and higher-order platform response. The successful candidate will develop analytical and computational models using BEM, QTFs and reduced-order techniques, interfacing with an established floating-platform code and validating against data.

Applicants should hold or be nearing a PhD in fluid mechanics or a related field, with strengths in programming and