Arezoo Hasankhani
5 months ago
Renewable energy and advanced technologies University of New Hampshire (UNH) in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Both PhD positions are fully funded. Details on stipend amount, tuition coverage, or other financial specifics are not provided.
Deadline
Aug 1, 2026
Country
United States
University
University of New Hampshire

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Where to contact
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About this position
Funding details
Both PhD positions are fully funded. Details on stipend amount, tuition coverage, or other financial specifics are not provided.
What's required
Applicants should have a background in cybersecurity or AI/ML for Project 1, or smart grids, real-time simulation, or hardware-in-the-loop systems for Project 2. Proficiency in Python or MATLAB is required, along with strong teamwork and communication skills. Candidates should be motivated and able to submit a cover letter, CV, and optionally publications. No specific GPA, language test, or degree level requirements are mentioned, but a relevant undergraduate or master's degree is implied.
How to apply
See the attached PDF for full details. Submit a single PDF (cover letter, CV, optional publication) to [email protected] with the subject line indicating the project of interest. Apply for Spring or Fall 2026 start.
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The Energy Control and Optimization Laboratory (ECO Lab) at the University of New Hampshire (UNH), led by Prof. Arezoo Hasankhani, is seeking motivated candidates for two PhD positions starting Spring/Fall 2026.
??Focus Areas:
Project 1 – Cybersecurity for Wave Energy Converters (WECs): Protect WECs, AI/ML anomaly detection, cyber-physical impact analysis
Project 2 – Integration of WECs into Smart Microgrids: Real-time simulation, hardware-in-the-loop (HIL), WEC-Sim + power system integration
??Who Should Apply:
Project 1: Candidates with background in cybersecurity or AI/ML
Project 2: Candidates with background in smart grids, real-time simulation, or HIL systems
Proficient in Python/MATLAB; strong teamwork & communication
?? How to Apply:
See the attached PDF for full details. Submit a single PDF (cover letter, CV, optional publication) to [email protected] with the subject line: “Prospective PhD Student – Project 1” or “Prospective PhD Student – Project 2”
Join us to work at the intersection of renewable energy and advanced technologies!
# PhD # PhDPosition # Cybersecurity # SmartGrid # AI # RenewableEnergy
# MarineEnergy # UNH # WaveEnergy