Process Simulation - CFD & AI based Simulation development

10 - 15 years

12 - 17 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities:

  • Execute CFD simulations for multiphase flows (VOF) to support advanced painting applications
  • Perform Conjugate Heat Transfer (CHT) analyses for oven-related engineering use cases
  • Use Abaqus to compute and evaluate forces acting on vehicle structures
  • Develop data-driven models to predict temperature profiles during the drying process
  • Design and implement toolbars and automation features for the Metapost application
  • Automate post-processing workflows for simulation tasks
  • Research, develop, and implement novel simulation methods, including meshless approaches and integration into Digital Twin platforms

Required Skills and Experience:

  • 10+ years of experience in CFD/CAE simulations
  • Strong expertise in STAR-CCM+ and Abaqus
  • Strong theoretical knowledge in FEM and CFD
  • Experience developing and deploying ML models using PyTorch, TensorFlow, or JAX
  • Strong understanding of ML concepts, statistics, and data analysis
  • Proficiency in Python with strong problem-solving and algorithmic-thinking skills
  • Experience deploying AI-assisted simulation tools (CI/CD, version control, Docker, MLflow)
  • Background in SciML: reduced-order modeling, surrogate modeling, uncertainty quantification
  • Experience integrating AI into CAE workflows (STAR-CCM+, Abaqus, custom pipelines)
  • Familiarity with PINNs, operator learning, and physicsML frameworks (DeepXDE, NVIDIA Modulus)
  • Strong German language skills (B2, business fluent)
  • Experience working with cross-functional teams and influencing product decisions
  • Experience developing novel simulation methods

Educational Qualifications

:

PhD in Computational EngineeringOR Masters degree in Mechanical, Automotive, Aerospace Engineering, or Data Science with a foundation in Computational Engineering

Preferred Qualifications (Good to Have):

  • Experience with meshless simulation methods, digital twin integration, and CAE-AI workflows
  • Exposure to global engineering projects and distributed teams
  • Experience with Daimler/MB tools and processes
  • Familiarity with advanced physicsML simulation technologies

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