Digital Transformation & AI Scientist
Tasks
- Apply physics-informed neural networks
- Benchmark simulation and surrogate performance
- Build simulation to AI pipelines
- Create visualizations for physical behavior and predictions
- Deploy digital twin solutions to production environments
- Design digital twin frameworks
- Develop Python tools for workflow orchestration
- Develop physics based surrogate models
- Document reusable modeling components
- Integrate simulation outputs with data pipelines
- Validate models and quantify uncertainty
Perks/Benefits
- N/A
Skills/Tech-stack
Computational Fluid Dynamics | Data Ingestion | Digital Twin | Element analysis | Finite Element Analysis | Finite element | Fluid Dynamics | Machine Learning | Model Validation | Model calibration | Neural Networks | NumPy | Pandas | Physics Informed Neural Networks | PyTorch | Python | Reduced order modeling | Regression | SciPy | Scikit-learn | Surrogate modeling | TensorFlow | Uncertainty Quantification
Education
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