Arezoo Hasankhani

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.

Two fully funded PhD positions are available in the Energy Control and Optimization Laboratory (ECO Lab) at the University of New Hampshire (UNH). Led by Prof. Arezoo Hasankhani, the lab is recruiting motivated PhD students for projects starting in Fall 2026 or Spring 2027 . The research themes are: • Project 1: Cybersecurity for marine cyber-physical systems • Project 2: Control for marine cyber-physical systems This opportunity is especially relevant for students interested in computer science , electrical engineering , control systems , cyber-physical systems , cybersecurity , and related areas such as renewable energy , marine energy , smart grids , and AI . The post states that the positions are fully funded . No additional details about stipend, tuition, or fee waivers are provided in the post. To apply, prepare a single PDF containing your CV and optionally one or more publications . Email the PDF to [email protected] with the subject line: Prospective PhD Student – Project 1 or Prospective PhD Student – Project 2 . No formal deadline is mentioned in the post.