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

Dr. Yanqing Su’s research group in the School of Aerospace and Mechanical Engineering at the University of Oklahoma is recruiting a motivated PhD student for a fully funded position.

The project focus is scientific machine learning, machine learning, signal processing, and scientific data analytics for biological systems and engineering systems. This is a strong fit for applicants with interests in computer science, electrical engineering, mechanical engineering, biomedical engineering, or aerospace engineering.

The position is open for a start in Fall 2027 or Spring 2027 / Fall 2027 as stated in the post. Funding is described as fully funded.

Applicants should email Dr. Su directly with the requested application materials: CV, unofficial transcript, TOEFL/IELTS scores if applicable, GRE scores if available, list of publications or research projects, and contact information for three references. The post also advises candidates to review the AME School PhD requirements for more information.

If you are interested in a research-focused doctoral opportunity at the University of Oklahoma, this post provides a direct faculty contact and a clear application-by-email process.