The role involves bridging the gap between physics-based simulation and data-driven approaches like Digital Twins and AI
Job Summary
The role involves bridging the gap between physics-based simulation and data-driven approaches like Digital Twins and AI.
Candidates will develop predictive models to accelerate design cycles and enable intelligent, connected products through hybrid simulation methodologies.
The position requires mentoring junior engineers and guiding them to improve their capabilities within a global engineering team environment.
Matching Summary
The role involves bridging the gap between physics-based simulation and data-driven approaches like Digital Twins and AI.
Skills & Requirements
Must-have
Strong CFD modeling skills
Experience with Ansys Fluent or Star-CCM+
Knowledge of turbulence modeling RANS URANS LES
Proficiency in CAD tools Spaceclaim Solidworks
10 to 12 years of engineering experience
Nice-to-have
Heat exchanger product knowledge
Experience with Digital Twins AI and Machine Learning
Exposure to Aeroacoustics
Familiarity with optimization frameworks Optislang Tosca
Willingness to travel locally or internationally
Key Requirements
Bachelor's or Master's Degree in Mechanical Automobile or Thermal Engineering
10 to 12 years of relevant experience
Prior experience with experimental characterization techniques preferred