University of North Carolina at Charlotte
1 month ago
Fully Funded PhD in Online Learning, Generative AI, and Decision-Making 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 availableCountry
United States
University
University of North Carolina at Charlotte

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About this position
A fully funded PhD position is available at the University of North Carolina at Charlotte in the College of Computing and Informatics.
The project is centered on online learning and decision-making, with a strong emphasis on Generative AI, reliable AI evaluation, calibration, sequential decision-making, machine learning, and machine learning for business. Example directions include developing methods for sequential decision-making in GenAI, evaluating and calibrating reliable AI systems, and applying ML to real-world business problems such as dynamic pricing.
Applicants with strong preparation in mathematics, coding, artificial intelligence, data science, or related areas are encouraged to apply. Strong programming, research, and problem-solving skills are especially valued. Prior publications are welcome but not required; applicants who have worked seriously on a research problem or substantial project and can explain their motivation, methods, challenges, and contributions are preferred.
The position is available for Spring 2027 or Fall 2027. Applicants interested in a Fall 2026 start may also mention this in their email. Funding includes a stipend, tuition, and insurance, subject to university and program policies.
To apply, email a CV, transcript, and a short note of one or two paragraphs describing your research interests to [email protected] with the subject line [PhD Application] – Your Name.
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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