We are looking for a technically solid candidate for the Digital Twin Engineer position, with strong Python programming skills and hands-on experience in CFD simulations.
The ideal candidate should have a positive understanding of Digital Twin development, predictive modelling, and data-driven engineering.
Key Responsibilities
Assist in developing Digital Twin solutions for engineering systems and applications.
Perform CFD simulations and analyse simulation results for predictive engineering applications.
Use Python to process, analyse, visualise, and interpret engineering simulation data.
Develop and validate predictive models using simulation data.
Support the integration of simulation results and data-driven models into Digital Twin workflows.
Compare model predictions with simulation results and available experimental data.
Document simulation methodologies, modelling approaches, validation results, and technical findings.
Collaborate with CADFEM engineers and university researchers on Digital Twin development and implementation.
Continuously learn and apply current tools and techniques in CFD, Python programming, and Digital Twin technologies.
Requirements
Required Skills:
Basics of CFD / FEA /Multiphysics.
Interest in Digital Twins, AI/ML, or predictive models.
Exposure to ANSYS tools (Fluent, Mechanical, Twin Builder academic exposure is sufficient).
Basic knowledge of Python is mandatory.