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Senior CFD Engineer - Multiphase

PhysicsX· Delivery
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Hybrid (Perth)Full-timePosted 2w ago

About the role

Senior CFD Engineer specializing in multiphase flow modelling within industrial bioprocess and chemical engineering environments, with an emphasis on developing high-fidelity simulation models, integrating AI/ML workflows, and delivering customer-facing CAE solutions.

Responsibilities

  • Develop multiphase flow models for gas-liquid, solid-liquid, VOF, Euler-Euler/Euler-Lagrange approaches across industrial and process engineering applications
  • Model non-Newtonian and complex fluid rheology modelling, including high-viscosity, shear-thinning or particle-laden flow regimes
  • Reactive and coupled-physics flow modelling: link CFD with reaction kinetics, heat transfer or domain-specific process models
  • Own meshing generation and strategy for complex industrial geometries, including rotating machinery, internal flow passages, spargers and free-surface interfaces
  • Build robust parametric CAD models (NX, CATIA or equivalent) tightly coupled with simulation pipelines, enabling automated design optimisation and DoE studies
  • Multi-physics model development end-to-end: geometry clean-up, meshing, solver setup, post-processing and experimental data integration for model validation
  • Scale-up/scale-down methodology: translate small-scale experimental data to full-scale CFD models and iterating model fidelity against physical measurements
  • HPC: job scheduling, MPI-based distributed computing, GPU acceleration and performance tuning for large-mesh transient simulations on cloud (Flux) and on-premise resources
  • Surrogate modelling and ML-CFD coupling: build reduced-order or AI surrogate models from high-fidelity CFD data to support design space exploration and process optimisation
  • Data pipeline literacy: structure and curate CFD output datasets for downstream AI/ML training, active learning and Pareto optimisation workflows; applying data sampling techniques (LHS, quasi-random, adaptive) to efficiently cover design space
  • Experimental validation workflows: compare simulation predictions against physical test data, interpreting discrepancies and systematically improving model fidelity
  • Customer-facing delivery: partner with clients to scope and address complex engineering challenges via CAE and AI solutions; communicating results clearly, recommending actionable next steps and balancing accuracy with efficiency under commercial deadlines
  • Proficiency in CFD solvers across open-source OpenFOAM and commercial platforms (Star-CCM+, Fluent or equivalent), including custom solver and boundary condition development
  • As the role evolves, opportunities for growth as an Individual Contributor or Team Lead with ownership of complex projects and future solution direction

Qualifications

  • Deep expertise in fluid mechanics, heat transfer and multiphase modelling within bioprocess and chemical engineering environments
  • Proficiency in at least one of Star-CCM+, OpenFOAM or Fluent
  • Experience modelling complex flow behaviour in industrial bioprocess systems
  • Automating these tools to create scalable optimisation workflows
  • Parametric CAD modelling experience (NX or CATIA) and coding in Python (or ability to pick up new languages)
  • Strong stakeholder engagement and ability to deliver customer-facing CAE/AI solutions

Skills

Required:Multiphase CFD modellingRheology modellingReactive and coupled-physics modellingMeshing & CAD integrationCommunication
Nice to have:Python & scriptingHPC & GPU accelerationData pipeline for CFD/AI
Last updated Oct 21, 2026. Interested? Apply on the company site.

About PhysicsX

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PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

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