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Jianyu Xu

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Fully Funded PhD Studentships in Online Learning, Decision-Making, and Generative AI at University of North Carolina at Charlotte University of North Carolina at Charlotte 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 North Carolina at Charlotte

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Keywords

Computer Science
Mathematics
Decision Making
Business
Online Learning
Statistics
Programming Language
Machine learning

About this position

Jianyu Xu, incoming Assistant Professor in the College of Computing and Informatics at the University of North Carolina at Charlotte, is recruiting 2 fully funded PhD students for his new lab.

The group will work broadly on online learning and decision-making, with research motivated by generative AI and real-world decision systems. Current directions include sequential decision-making in GenAI, reliable AI evaluation and calibration, and machine learning for business (building on dynamic pricing). These are starting points, and students may explore related or new directions.

The ideal applicant has a strong foundation in mathematics and strong coding skills. Prior publications are welcome but not required. The supervisor is especially interested in applicants who have seriously engaged with a research problem or substantial project and can clearly explain the motivation, methods, challenges, and their own contributions.

Funding for admitted PhD students includes stipend, tuition, and insurance, subject to university and program policies. The post mentions possible start terms of Spring 2027 or Fall 2027, and also notes that applicants seeking a Fall 2026 start should mention this in their email for coordination with the department.

To apply, email [email protected] with the subject line [PhD Application] – Your Name and attach your CV, transcript, and a short research-interest statement.

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.

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