Texas A&M University Kingsville
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Fully Funded PhD and MS Positions in Artificial Intelligence at Texas A&M University–Kingsville Texas A&M University–Kingsville in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Both positions are fully funded through a U.S. Department of Education grant.
Country
United States
University
Texas A&M University Kingsville

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About this position
Texas A&M University–Kingsville is advertising 2 funded graduate positions in Artificial Intelligence: 1 PhD student and 1 MS student. The positions are being recruited by Dr. Shaif Chowdhury in the EECS area.
The research focus includes artificial intelligence, machine learning, computer vision, deep learning, natural language processing, and underwater imaging. This is a strong fit for students interested in modern AI methods, applied ML, and vision-based research problems.
The post states that both positions are fully funded through a U.S. Department of Education grant. It does not mention a stipend amount, tuition details, or other financial terms, but the wording clearly indicates funded graduate support.
Applicants should have experience or a strong interest in AI, ML, computer vision, or related areas. No additional eligibility details are given in the post.
To apply, email your CV and research interests to [email protected]. You can also review the faculty profile, research website, MS in Computer Science page, and graduate admissions portal for more information.
Funding details
Both positions are fully funded through a U.S. Department of Education grant.
What's required
Applicants should have experience or a strong interest in artificial intelligence, machine learning, computer vision, or related areas. The post does not specify GPA, test scores, or prior degree requirements, but it is for one PhD student and one MS student.
How to apply
Email your CV and research interests to Dr. Shaif Chowdhury. Review the faculty profile and graduate admissions pages for program details before applying.
More information can be found here
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