Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
University of New Hampshire
4 days ago
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 availableCountry
United States
University
University of New Hampshire

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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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