Publisher
source

Arezoo Hasankhani

1 year 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

Expired

Country flag

Country

United States

University

University of New Hampshire

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Cybersecurity
Energy Engineering
Real-time Systems
Microgrid Technology
Wave Energy
Power System
ML

About this position

?? Two Fully Funded PhD Positions – ECO Lab, UNH

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

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.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Energy Engineering

Cybersecurity

Computer Science

Electrical Engineering

Mechanical Engineering