A FAPESP-funded postdoctoral position is available at the University of Campinas (UNICAMP), Brazil, in the School of Electrical and Computer Engineering. The research focuses on leveraging advanced AI and neural network methods to enhance the integration and hosting capacity of inverter-based generation in transmission networks. Key research topics include disturbance detection and identification, synchrophasor data analytics, and the dynamic performance of power systems. The project also involves developing a real-time visualization and monitoring platform using Grafana and real system data.

Applicants should have a PhD in Electrical Engineering or a related field, with demonstrated experience in neural networks, signal processing, and power system dynamics. The position is funded by a FAPESP Postdoctoral Fellowship for 18 months, starting in April 2026. The application deadline is March 16, 2026. The host institution is the University of Campinas, a leading research university in Brazil, offering a vibrant academic environment for advanced research in electrical energy systems and AI applications.

Interested candidates should apply via the provided link and ensure they meet all eligibility requirements. This opportunity is ideal for researchers interested in the intersection of artificial intelligence, power systems, and real-time data analytics.