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Текст:
Hirify AI/Оригинал
TL;DR
CFD Multiphase & DEM Engineer (CFD/DEM/AI): Building high-fidelity multiphysics simulation models and scalable optimisation workflows for industrial engineering applications with an accent on multiphase flow, particle-laden systems, and coupled CFD-DEM modelling. Focus on validating granular-system models, generating datasets for machine-learning surrogates, automating design exploration, and accelerating simulations on HPC infrastructure.
Location: London, United Kingdom; hybrid work with 2–3 days per week in the central office, plus global customer travel of up to 2–3 weeks per quarter.
Company
hirify.global is a physics AI company building simulation software for industrial engineering and manufacturing across aerospace and defence, automotive, semiconductors, materials, and energy and renewables.
What you will do
Build complex multiphysics models from geometry cleanup and meshing through simulation, post-processing, and experimental-data validation across single-phase, multiphase, and coupled CFD-DEM regimes.
Develop and validate DEM models for granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions, and coating processes.
Build parametric CAD models and automate simulation pipelines for design optimisation and design-of-experiments studies across large parameter spaces.
Partner directly with customers, often on-site, to solve engineering challenges, present results, and recommend actionable next steps while balancing accuracy and efficiency.
Generate simulation datasets for machine-learning and deep-learning surrogate models, applying smart sampling to reduce computational cost.
Use Flux and on-premise HPC resources, improve simulation practices for physics-informed ML, lead projects, and mentor junior colleagues.
Requirements
Expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM.
Experience with multiphase CFD approaches including VOF, Euler–Euler, Euler–Lagrange, or mixture models.
Experience with DEM modelling using EDEM, Rocky, LIGGGHTS, or an equivalent tool, and with coupled CFD-DEM workflows for particle–fluid systems.
Experience with heat and mass transfer modelling.
Proficiency in at least one of Star-CCM+, OpenFOAM, or Fluent.
MEng, MSc, or PhD in mechanical, chemical, or process engineering.
Python scripting, simulation automation, DoE, surrogate modelling, and design-space exploration.
Strong written and verbal communication with technical and non-technical audiences.
Nice to have
Experience with reacting flows and phase-change processes.
Parametric CAD modelling with NX or CATIA.
Ability to quickly learn new programming languages.
Culture & Benefits
Hybrid work combining time in the Shoreditch office with work-from-home days.
Collaborative, high-caliber team of engineers, scientists, and operators with a flat structure.
Equity options, a 10% employer pension contribution, private medical insurance, and enhanced parental leave.
25 days of annual leave plus public holidays, free office lunches, and personal-development support.
Wellhub subscription, Employee Assistance Programme, eye tests, nursery scheme, Bike2Work scheme, season-ticket loan, and EV salary sacrifice.
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