Renewable energy and advanced technologies

The Energy Control and Optimization Laboratory (ECO Lab) at the University of New Hampshire, led by Assistant Professor Arezoo Hasankhani, is recruiting two fully funded PhD students for Spring or Fall 2026. The research focuses on two projects: Project 1 centers on cybersecurity for wave energy converters, including AI/ML-based anomaly detection and cyber-physical impact analysis. Project 2 involves the integration of wave energy converters into smart microgrids, emphasizing real-time simulation, hardware-in-the-loop (HIL) systems, and power system integration. Applicants should have relevant backgrounds: cybersecurity or AI/ML for Project 1, and smart grids, real-time simulation, or HIL systems for Project 2. Proficiency in Python or MATLAB and strong teamwork and communication skills are required. Funding is fully provided, but specific stipend or tuition details are not listed. To apply, candidates should submit a single PDF (cover letter, CV, and optional publication) to Prof. Hasankhani via email, specifying the project of interest. The application window is for Spring/Fall 2026, with a recommended deadline of August 1, 2025. This opportunity is ideal for students interested in renewable energy, advanced technologies, and interdisciplinary research at a leading US institution.