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Yadi Cao

1 week ago

PhD and Postdoc Positions in Scientific Machine Learning and AI for Science at University of Central Florida University of Central Florida in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Dec 1, 2026

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Country

United States

University

University of Central Florida

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Technical Engineering
Surrogate Modeling
Statistics
Physics
ML

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About this position

Yadi Cao, Assistant Professor of Computer Science at the University of Central Florida, is recruiting for a new research group focused on scientific machine learning, AI for Science, surrogate modeling, and scientific agents. The lab’s research directions include learning models that generalize across geometry, physics, and operating conditions with limited data, as well as agents that automate simulations, experiments, and scientific decision-making under real resource constraints.

Openings include fully funded PhD students starting in Spring or Fall 2027, fully funded postdocs with rolling start dates, and opportunities for UCF undergraduates, graduate students, visiting students, and interns. The group emphasizes work at the intersection of computer science, mathematics, physics, and engineering, especially for problems where data are expensive and physical constraints matter.

The post highlights access to substantial computing resources, including a dedicated GPU partition on UCF’s Newton cluster with H100s and V100s, plus additional machines supported by the startup package and industry collaboration. This is a new group, so students and researchers may have significant influence on the lab’s direction and receive close mentorship.

Interested applicants should apply via the linked page and email a CV, representative work, and a short statement of interest. For Fall 2027, the international deadline is December 1, 2026; fellowship and assistantship applications are due by January 15.

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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