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Publisher
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Meng Xia

12 months ago

PhD in Human–AI Interaction and AI for Education at Texas A&M University (Computer Science) Texas A&M University in United States

Degree Level

PhD

Field of study

not provided

Funding

The position is fully funded, covering stipend and tuition. No specific stipend amount is mentioned.

Deadline

Expired

Country flag

Country

United States

University

Texas A&M University

About this position

Dr. Meng Xia, Assistant Professor in Computer Science & Engineering at Texas A&M University, is recruiting 1–2 fully funded PhD students for Fall 2026. The research focus is on Human–AI Interaction, particularly AI for education, including topics such as data visualization, intelligent tutoring systems, and collaborative learning technologies. The lab has a strong record of publications in top conferences (ACM CHI, IEEE Visualization, NeurIPS Workshop) and offers a dynamic, collaborative research environment. Applicants should have a background in Computer Science, with experience in full-stack development or LLM fine-tuning considered a plus. The position is fully funded, covering stipend and tuition. The application deadline is December 15, 2025. Interested candidates should fill out the informal interest form and review Dr. Xia’s personal website for further details. Texas A&M University is a leading research institution located in the United States, offering excellent resources and support for graduate research in computer science and education technology.

Funding details

The position is fully funded, covering stipend and tuition. No specific stipend amount is mentioned.

What's required

Applicants should have a background in Computer Science. Experience with full-stack development or large language model (LLM) fine-tuning is a plus. Candidates should be motivated, responsible, and collaborative. No specific GPA, language test, or other requirements are mentioned.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Educational Technology

Digital Art

Human-computer Interaction

Visualization Techniques

Virtual Reality