Digital Twin Engineer
Job Description
Job Summary
We are looking for a technically strong 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 good 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 new 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.
Education
- M.Tech (Mechanical/ Aerospace / Chemical / Electrical / Mechatronics / Applied Physics).
Commitment
- 3 years of commitment with the organization.
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