Publisher
source

Washington State University

Funded PhD in Human–AI Interaction and AI Agents for Science Education Washington State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Two funded PhD positions with graduate assistantship support, including salary/stipend, tuition waiver, and graduate student health insurance, subject to satisfactory progress, eligibility, and continued project funding.

Deadline

Sep 10, 2026

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Country

United States

University

Washington State University

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Keywords

Computer Science
Education
Psychology
Biology
Mathematics
Science Education
Learning Analytics
ML

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About this position

Washington State University is recruiting two funded PhD students for a newly funded NSF project, Collaborative Argumentation with AI Agents: Understanding Human-AI Interactions (CA-AI). The project examines how university students and generative AI agents reason, interact, and construct scientific knowledge together.

The PhD opportunity is in Mathematics and Science Education and is especially relevant to students interested in human–AI interaction, AI agents, generative AI, science learning, scientific reasoning, and learning-centered AI systems.

Two focus areas are available:

Science Education & Biology — suited to candidates with a strong science background, especially biology, and interests in science learning, argumentation, and qualitative/quantitative research.

AI in Education & AI Agents — suited to candidates interested in LLMs, AI agents, AI for STEM education, Python, machine learning, learning analytics, and AI system development.

The positions include assistantship salary/stipend, tuition waiver, and graduate student health insurance, subject to satisfactory progress, eligibility, and continued project funding.

Start term: Spring 2027 or Fall 2027. Spring applicants are encouraged to email materials for initial review by 2026-09-10.

Contact: [email protected]

Funding details

Two funded PhD positions with graduate assistantship support, including salary/stipend, tuition waiver, and graduate student health insurance, subject to satisfactory progress, eligibility, and continued project funding.

What's required

Applicants should have a strong science background, particularly biology, for the Science Education & Biology track, or interest in LLMs, AI agents, AI for STEM education, Python, machine learning, learning analytics, and AI system development for the AI in Education & AI Agents track. The post emphasizes interests in science learning, argumentation, human–AI interaction, qualitative and quantitative research, and scientific reasoning.

How to apply

Spring applicants are encouraged to email their materials for initial review by September 10, 2026. Contact the listed email for more information and review the NSF project link for context.

More information can be found here

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