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Xinying Hou

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PhD Opening in Data Science, AI in Education, and Human-AI Interaction at New Jersey Institute of Technology New Jersey Institute of Technology in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United States

University

New Jersey Institute of Technology

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Keywords

Computer Science
Data Science
Education
Psychology
Information Technology
Statistics
Information Systems
Large Language Models
ML

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About this position

Xinying Hou, Assistant Professor of Data Science at New Jersey Institute of Technology, is actively recruiting PhD students for the ANTLER (Advance Next-generation Technology for Learner and Educator Readiness) Lab for Spring/Fall 2027.

The lab’s research centers on a key question in AI in Education, Human-AI Interaction, and EdTech: how technology can equip learners and educators with the skills, judgment, and agency to navigate what’s coming. The post highlights work connected to data science, learning sciences, computer science, information science, machine learning, large language models, and full-stack development for learning systems.

Preferred applicants should care about education broadly defined and be motivated to do research in this area. Helpful preparation includes a background in data science, information science, computer science, learning sciences, HCI, and/or education; solid programming skills; experience with LLMs/ML or full-stack development; strong communication; openness to feedback and iteration; and prior research/publication experience.

To apply, submit an application through the PhD in Data Science program at NJIT and mention Xinying Hou in your application. If you would like to make contact first, email the professor with the subject line [Prospective PhD Student - Spring/Fall 2027] and include your CV plus a short note about your background and interests. The post also links to more information about the lab.

Funding details

Available

What's required

Applicants should be interested in education broadly defined and motivated to pursue research in this area. Preferred background includes data science, information science, computer science, learning sciences, HCI, and/or education. Strong programming skills are preferred, with experience in LLMs/ML or full-stack development for learning systems. Excellent communication skills, willingness to iterate and accept feedback, and previous research/publication experience are preferred.

How to apply

Apply through the PhD in Data Science program at NJIT and mention Xinying Hou in the application. If you want to contact the professor first, email with the subject line provided and include your CV and a short note, but still apply through the formal process.

More information can be found here

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