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Mohammad Arif Hossain

5 months ago

Fully Funded PhD in Computational Science: Agentic AI, AI Security, and Quantum Networks Middle Tennessee State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD opening for Fall 2026.

Deadline

Dec 28, 2026

Country flag

Country

United States

University

Middle Tennessee State University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Cybersecurity
Wireless Communication
Computational Science
Quantum Computing
Robotics
Autonomous System
Physics
Distributed System

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About this position

Middle Tennessee State University is advertising a fully funded PhD opening for Fall 2026 in the Computational Science PhD Program. The position is supervised by Mohammad Arif Hossain, Assistant Professor at MTSU, and is aimed at one highly motivated student.

The research areas include Agentic AI for Autonomous Systems (UAVs/Robotics), Agentic AI Security, and Quantum Networks. The project emphasis is on intelligent, secure, and scalable next-generation systems for AI-native networking, autonomous cyber-physical systems, distributed intelligence, and secure machine learning.

Preferred preparation includes a background in machine learning, cybersecurity, wireless networking, robotics, distributed systems, quantum computing, or related areas. Strong programming and research skills are encouraged, and applicants with an MS degree are preferred.

This opportunity is explicitly for US-based students only; applicants must currently reside in the United States. Interested students should email a CV, unofficial transcripts, and a brief one-page research statement to [email protected] with the subject line PhD Applicant for Fall 2026.

Application timing is for Fall 2026. No separate application portal link was provided in the post.

Funding details

Fully funded PhD opening for Fall 2026.

What's required

Applicants must be highly motivated and currently reside in the United States. Preferred background includes machine learning, cybersecurity, wireless networking, robotics, distributed systems, quantum computing, or related areas. Strong programming and research skills are encouraged. Students with an MS degree are preferred.

How to apply

Send a CV, unofficial transcripts, and a brief one-page research statement to [email protected]. Use the email subject line 'PhD Applicant for Fall 2026'.

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United States

Research Interests

Cybersecurity

Artificial Intelligence

Computer Science

Electrical Engineering

Information Technology