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

• Academic freedom
• Collaboration opportunities
• Collegial respect
• International research environment

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