AI/ML enhanced control engineering
Tasks
- Adapt new approaches to product portfolio
- Analyze model and simulate dynamic uncertain systems
- Apply learning and control to constrained linear nonlinear distributed systems
- Develop secure learning and control approaches
- Handle parameter and structural uncertainties
- Improve model based control using data based methods
- Maintain customer requirements and prepare solution approaches
- Monitor evaluate academic and industrial research
- Prepare minimum viable software products
Perks/Benefits
- N/A
Skills/Tech-stack
Decision Trees | Deep learning | Differential Equations | Finite Difference Method | Finite Volume Method | Finite difference | Finite element | Finite element method | Finite volume | Gaussian Process | Gaussian process regression | High Performance | High-Performance Computing | Linear Algebra | MATLAB | Machine Learning | Model-Predictive Control | Numerical Methods | Operator learning | Ordinary differential equations | Partial differential equations | Performance Computing | Physics-informed machine learning | Predictive control | Python | Reduced-order models | Simulink | Surrogate modeling | Transformer Architectures
Education
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