About the role
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.
RequirementsRequired 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.
- M.Tech (Mechanical/ Aerospace /
Chemical / Electrical / Mechatronics /
Applied Physics).
- 3 years of commitment with the
organization.