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CFD Multiphase & DEM Engineer

PhysicsX· Delivery
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Hybrid (London, UK)full-timePosted 3mo ago

About the role

CFD Multiphase & DEM Engineer position at PhysicsX, a physics AI company focused on delivering high-fidelity simulation models and AI-enabled engineering workflows for industrial applications across aerospace, automotive, semiconductors, materials, and energy & renewables.

Responsibilities

  • Proficiency in CFD solvers across open-source OpenFOAM and commercial platforms (Star-CCM+, Fluent or equivalent), including custom solver and boundary condition development
  • 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 (e.g. biokinetic, combustion, or electrochemical frameworks)
  • 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 experience: 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 — structuring 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

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
  • Adept at automating tools to create scalable optimisation workflows
  • Experience in parametric CAD modelling (NX or CATIA) and coding in Python (or ability to pick up new programming languages quickly) is an advantage

Skills

Required:CFD solver proficiencyMultiphase flow modellingNon-Newtonian rheologyMeshing and CAD integrationHPC and performance tuning
Nice to have:Reactive/ coupled-physics modellingData pipelines for AI/ML

Benefits

  • Hybrid work model combining Shoreditch office in-person days with work-from-home days
  • Opportunity to shape an AI-native engineering company at a formative stage
  • Collaborative, high-caliber team environment
  • Flat structure with emphasis on merit and ideas over hierarchy
  • Diversity & inclusion commitments and related program sponsorships
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

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.

AIIndustrial InnovationDesignManufacturingOperationsAI ToolsProduct Lifecycle
Company profileWebsite

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