Computational Modeller - Ceramics & Digital Twin

Lucideon; Stone; On-site; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Private Medical Insurance

Medical Cash Plan

Annual leave 25 days

Pension with life cover

Christmas shutdown

Job summary

Lucideon is seeking a Computational Modeller to advance materials modelling across sintering, kiln environments and digital twin development. You will build bespoke models, work with industry and academia, and help optimise manufacturing processes through advanced computational methods.

Ideal candidates hold an MSc or PhD in science or engineering with strong COMSOL/FEA experience, and excellent analytical and communication skills to translate complex results for diverse stakeholders.

Qualifications

• Requires MSc or PhD in science or engineering with experience in computational modelling or materials processing.
• Strong capability in finite element analysis—preferably COMSOL.
• Ability to interpret modelling outputs and communicate complex results clearly.

Responsibilities

• Develop and enhance material and process modelling using COMSOL and other FE tools.
• Create bespoke models and contribute to modelling platform development.
• Collaborate with industry and academia to support manufacturing process optimisation.
• Interpret modelling outputs to solve engineering and materials challenges across sectors.
• Advocate for computational modelling to clients and partners, highlighting technical and financial benefits.
• Support development of digital twins for sintering and ceramic production processes.

Skills

Materials science

Analytical thinking

Clear communication

Education

MSc/PhD in science or engineering

Tools

COMSOL

Finite element analysis

Job description

Lucideon is seeking a Computational Modeller to advance materials modelling across sintering, kiln environments and digital twin development. You will build bespoke models, work with industry and academia, and help optimise manufacturing processes through advanced computational methods.

Ideal candidates hold an MSc or PhD in science or engineering with strong COMSOL/FEA experience, and excellent analytical and communication skills to translate complex results for diverse stakeholders.