Hybrid CFD Engineer - AI-Driven Simulations & DoE

PhysicsX Ltd.; Greater London; Hybrid; AUD 90,000 - 130,000; Full time

Job summary

PhysicsX Ltd. is building its Perth presence from the ground up, offering a rare opportunity to join a founding regional team. You will apply fluid mechanics and heat transfer knowledge to build high-fidelity CAE models integrated with AI tools, often working directly on-site with customers.

You’ll collaborate with data scientists and engineers to create scalable workflows, contribute to DoE studies, and help grow the CFD-to-ML pipeline while learning new tools and languages.

Qualifications

• Growing foundation in fluid mechanics, heat transfer, and multiphase modelling.
• Exposure to parametric CAD modelling (NX or CATIA).
• Experience with CAE tools (Star-CCM+, OpenFOAM, Fluent).
• Coding experience in Python or Java is an advantage.

Responsibilities

• Work with Data Scientists, ML Engineers and customers to define and solve engineering challenges.
• Build models from geometry clean-up and meshing to simulation and post-processing for simple to moderately complex cases.
• Contribute to simulation pipeline automation for design optimisation and DoE studies.
• Prepare and present results clearly to customers under guidance, with growth toward independent work.
• Support creation of CFD datasets for training ML models and understand data sampling effects.

Skills

Fluid mechanics

Heat transfer

Multiphase modelling

Star-CCM+

OpenFOAM

Fluent

NX

CATIA

Python

Java

Tools

Python

Job description

PhysicsX Ltd. is building its Perth presence from the ground up, offering a rare opportunity to join a founding regional team. You will apply fluid mechanics and heat transfer knowledge to build high-fidelity CAE models integrated with AI tools, often working directly on-site with customers.

You’ll collaborate with data scientists and engineers to create scalable workflows, contribute to DoE studies, and help grow the CFD-to-ML pipeline while learning new tools and languages.