AI/ML enhanced control engineering
Tasks
- Adapt new research approaches to product requirements
- Analyze dynamic uncertain systems
- Apply control approaches to constrained linear nonlinear and distributed systems
- Develop learning and control engineering solutions
- Develop secure robust control methods
- Improve model based control concepts using data based methods
- Maintain customer requirements alignment
- Model and simulate system dynamics
- Monitor and evaluate academic and industrial research
- Prepare solution approaches and minimum viable software
Perks/Benefits
- N/A
Skills/Tech-stack
Adaptive Control | Artificial neural networks | Bagging | Boosting | C plus plus | C# | Control Theory | Deep learning | Differential Equations | Gaussian Process | Gaussian process regression | High Performance | High-Performance Computing | LQG | LQR | Linear Algebra | Lyapunov Stability Analysis | Lyapunov stability | MATLAB | Matrix theory | Model-Predictive Control | Neural Networks | Numerical Methods | Optimal Control | Ordinary differential equations | Performance Computing | Predictive control | Python | Reduced-order models | Robust Control | Simulink | Stability analysis | Surrogate modeling
Education
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