CFD-DEM Multiphase Engineer — AI-Driven Simulation & Equity

PhysicsX; Greater London; Hybrid; GBP 80.000 - 120.000; Vollzeit

Benefits dieser Stelle

Equity options

Pension plan

Private medical insurance

Annual leave 25 days

Lunches provided

Parental leave (enhanced)

Zusammenfassung

PhysicsX in London is building an AI-driven simulation stack for engineering and manufacturing. You will construct high-fidelity multi-physics models, validate against data, and work with customers on-site to deliver impactful AI-enabled solutions.

You’ll bring deep expertise in fluid mechanics, heat transfer, and CFD–DEM workflows, with Star-CCM+/OpenFOAM/Fluent and DEM tools like EDEM or LIGGGHTS. Hybrid London office awaits.

Qualifikationen

• Hands-on experience with multiphysics CFD and DEM coupling.
• Strong automation using Python for simulation pipelines.
• Excellent communication with clients and internal teams.

Aufgaben

• Build complex multi-physics models from geometry to validation.
• Develop and validate DEM models for granular systems.
• Create parametric CAD models and automate design workflows.
• Collaborate with customers to address engineering challenges.
• Generate high-quality simulation datasets for ML surrogates.
• Mentor junior colleagues and travel to work on-site with customers.

Kenntnisse

Multiphase CFD

DEM modelling

CFD–DEM coupling

Heat & mass transfer

Reacting flows

Star-CCM+/OpenFOAM/Fluent

Python scripting

DoE & surrogate modelling

Ausbildung

MEng/MSc/PhD in mechanical, chemical, or process engineering

Tools

EDEM

LIGGGHTS

Rocky

NX/CATIA

Jobbeschreibung

PhysicsX in London is building an AI-driven simulation stack for engineering and manufacturing. You will construct high-fidelity multi-physics models, validate against data, and work with customers on-site to deliver impactful AI-enabled solutions.

You’ll bring deep expertise in fluid mechanics, heat transfer, and CFD–DEM workflows, with Star-CCM+/OpenFOAM/Fluent and DEM tools like EDEM or LIGGGHTS. Hybrid London office awaits.