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Publisher
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University of Oklahoma

Fully Funded PhD in Machine Learning, Signal Processing, and Scientific Data Analytics at University of Oklahoma University of Oklahoma 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 Oklahoma

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Keywords

Computer Science
Data Science
Signal Processing
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Technical Engineering
Statistics
Machine learning

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About this position

Fully funded PhD opportunity at the University of Oklahoma in the areas of Machine Learning, Signal Processing, and Scientific Data Analytics.

Dr. Yanqing Su is inviting applications for Spring/Fall 2027. The position is aimed at students with a strong interest in AI, engineering, and data science, with research directions likely centered on scientific machine learning, data-driven modeling, and signal/data analysis.

Funding: The post states that the PhD position is fully funded.

Eligibility / requirements: Applicants should prepare a CV, unofficial transcripts, TOEFL/IELTS if applicable, GRE if available, publications or research projects, and three references. The post suggests language test and GRE materials are optional depending on the applicant’s background and availability.

How to apply: Email [email protected] with the subject line Ph.D. Student Application – Scientific Machine Learning. Include the requested documents in your email.

Application window: Spring/Fall 2027 intake mentioned; no exact deadline was provided in the post.

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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