Postdoctoral Appointee – Machine Learning, Control, and Cybersecurity for Power Systems
Tasks
- Build and evaluate models using real or simulated data
- Collaborate on research publications and reports
- Design decision-making approaches for microgrids
- Develop cyberattack detection and resilient control methods
- Develop machine learning methods for control
- Integrate power system knowledge with machine learning
- Present research at conferences
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Control Systems | Cybersecurity | Machine Learning | Power Systems | Python | Reinforcement Learning | Simulation tools
Education
Roles
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