About the Role
PhysicsX is building an AI-driven simulation software stack for engineering and hardware innovation. We empower engineers to push boundaries by enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle.
Responsibilities
- Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes.
- Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies.
- Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces.
- Partner with customers to address complex engineering challenges through advanced simulation and AI solutions, presenting results clearly and recommending actionable next steps.
- Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models.
- Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale.
- Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models.
- Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth.
- Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together.
Requirements
- Deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM.
- Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent.
- Experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky.
- Adept at automating tools to create scalable optimisation workflows.
- Experience in parametric CAD modelling (NX or CATIA) is an advantage.
- Coding in Python (or the ability to pick up new programming languages quickly) is an advantage.
- Strong written and verbal communication with technical and non-technical audiences.
Skills
- Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models
- DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent
- Coupled CFD–DEM workflows for particle–fluid systems
- Heat and mass transfer modelling
- Reacting flows and phase-change processes (advantageous)
- Star-CCM+, OpenFOAM, or Fluent proficiency
- Python scripting and simulation automation
- DoE, surrogate modelling, and design space exploration
- Parametric CAD modelling (NX or CATIA advantageous)
Location
- London
Work Type
- Hybrid
- Onsite
Experience Level
- 3–5 years of industry experience (post-MEng, MSc, or PhD) in a commercial, non-research environment
Education Level
- MEng, MSc, or PhD in mechanical, chemical, or process engineering
Benefits
- Equity options
- 10% employer pension contribution
- Free office lunches
- Enhanced parental leave (3 months full pay paternity and 6 months full pay maternity leave)
- YellowNest nursery scheme
- 25 days of Annual Leave (+ Public Holidays)
- Private medical insurance (100% employee cover)
- Wellhub Subscription
- Eye tests
- Personal development support
- Employee Assistance Programme (EAP)
- Bike2Work scheme
- Season ticket loan
- Octopus EV salary sacrifice
About the Company
- PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
- We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries.
- Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Equal Opportunity
- We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity.
- We strongly encourage individuals from groups traditionally underrepresented in tech to apply.
- To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
- We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation.
