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University of New Hampshire

Fully Funded PhD in Cybersecurity and Control & Reinforcement Learning for 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
Artificial Intelligence
Cybersecurity
Reinforcement Learning
Robotics
Control System
Machine learning

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About this position

Fully funded PhD positions are available at the Energy Control and Optimization (ECO) Lab, University of New Hampshire (UNH), in the United States.

The projects focus on Cybersecurity for Marine Cyber-Physical Systems and Control & Reinforcement Learning for Marine Cyber-Physical Systems. These topics sit at the intersection of Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, AI/ML, and control systems, with a strong applied research angle in marine and cyber-physical environments.

Applicants should hold a Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a closely related field. Helpful experience includes AI/ML, cybersecurity, reinforcement learning, Python, and MATLAB.

The post states that the positions are fully funded. No deadline is mentioned in the post.

To apply, email your CV as a single PDF, with optional publications, to [email protected]. Use the subject line Prospective PhD Student – Project 1 or Prospective PhD Student – Project 2.

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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