Texas A&M University
1 week ago
Fully Funded PhD in Statistical AI and Machine Learning at Texas A&M University Texas A&M University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity. Funding may include research assistantships, teaching assistantships, and fellowships. The post mentions at least $2,350/month for funded department assistantship offers, full resident tuition plus allowable fees, medical/dental/vision benefits, and a possible nonresident tuition waiver for qualified international students.
Country
United States
University
Texas A&M University

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About this position
Fully funded PhD opportunity in Statistical AI and Machine Learning at Texas A&M University in the Wm Michael Barnes ’64 Department of Industrial and Systems Engineering.
Dr. Jaesung Lee, Assistant Professor, is recruiting PhD students with interests in statistical AI, machine learning, physics-informed ML, Bayesian modeling, data science, advanced manufacturing, and health/clinical data applications.
Funding may include research assistantships, teaching assistantships, and fellowships. The post states that funded department assistantship offers include at least $2,350/month, full resident tuition plus allowable fees, and medical, dental, and vision benefits. A possible nonresident tuition waiver is mentioned for qualified international students.
Eligible applicants may come from Engineering, Statistics, Mathematics, Computer Science, Data Science, or related quantitative fields. International students are eligible.
To apply, contact Dr. Jaesung Lee at [email protected] and review the full opportunity details at the linked page.
Funding details
Fully funded PhD opportunity. Funding may include research assistantships, teaching assistantships, and fellowships. The post mentions at least $2,350/month for funded department assistantship offers, full resident tuition plus allowable fees, medical/dental/vision benefits, and a possible nonresident tuition waiver for qualified international students.
What's required
Applicants should be interested in statistical AI, machine learning, physics-informed machine learning, Bayesian modeling, data science, advanced manufacturing, or health/clinical data applications. Strong applicants may come from Engineering, Statistics, Mathematics, Computer Science, Data Science, or related quantitative fields. International students are eligible.
How to apply
Contact Dr. Jaesung Lee by email to express interest and ask about the PhD opening. Review the full opportunity details via the linked page for additional instructions.
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