Postdoc in Development of high-performance Power Converters and Drives with Edge computing and Machine Learning capabilities - DTU Wind
Tasks
- Build privacy preserving decentralized online learning methods
- Collaborate with industrial partners for demonstration and deployment
- Create condition based monitoring analytics for rotating machinery
- Develop edge intelligence for grid connected power converters and motor drives
- Develop modulation estimation and control algorithms
- Implement drive integrated monitoring and diagnostics using electrical signatures
- Integrate online continual learning and uncertainty quantification
- Validate methods on laboratory setups
Perks/Benefits
Skills/Tech-stack
C++ | Condition-Based Monitoring | Continual Learning | Cybersecurity | Electrical signal processing | Embedded Systems | MATLAB | Machine Learning | Online Learning | Power System Flexibility | Power electronics | Power system | Python | Real Time | Real-time Systems | Signal Processing | Time Systems | Uncertainty Quantification
Education
Roles
Regions
Countries
States
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