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University of New Hampshire

Fully Funded PhD Positions in Electrical & Computer Engineering on Marine Cyber-Physical Systems University of New Hampshire in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of New Hampshire

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Cybersecurity
Python Programming
Reinforcement Learning
Anomaly Detection
Model Predictive Control
Robotics
Control System
Machine learning

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About this position

Two fully funded PhD positions are available in Electrical & Computer Engineering at the University of New Hampshire. The openings are in the Energy Control and Optimization Laboratory (ECO Lab) with Prof. Arezoo Hasankhani, and the research focus is marine cyber-physical systems.

The post highlights two project directions: (1) cybersecurity for marine cyber-physical systems, including AI/ML-based protection against cyberattacks, marine communications security, anomaly detection, and penetration testing of control systems; and (2) control for marine cyber-physical systems, including model predictive control and reinforcement learning for marine systems and RL-based controller design.

Applicants should have a Master’s degree in ECE, Mechanical Engineering, Computer Science, or a related field. Project-specific preparation is important: cybersecurity and/or AI/ML for Project 1, and control plus reinforcement learning for Project 2. Strong Python and/or MATLAB skills are required, along with teamwork and communication skills. Experience with cyber-physical systems such as AUVs, marine microgrids, or wave energy is preferred; electromechanical or multidisciplinary systems experience, publications, or industry experience are considered a plus.

The positions are described as fully funded, and the lab mentions access to ocean engineering facilities and the Atlantic Marine Energy Center (AMEC). The post does not give a formal deadline; it indicates a Fall 2026 / Spring 2027 start.

To apply, send a single PDF CV and optional publications to [email protected]. In the email subject line, write “Prospective PhD Student – Project 1” or “Project 2”, and specify which project you want to be considered for.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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