Ali Bicer
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2 days ago
PhD Opportunity in Mathematics Education and AI at Texas A&M University Texas A&M University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD position is tied to a five-year NSF-funded IUSE project. The post does not specify stipend, tuition coverage, or other financial details.
Country
United States
University
Texas A&M University

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About this position
PhD Opportunity in Mathematics Education & AI at Texas A&M University (Fall 2027)
Professor Ali Bicer is recruiting a PhD student to join the Creative Mathematics Teaching & Learning Lab (CMTL²) at Texas A&M University. The project is part of a five-year NSF-funded IUSE initiative focused on how AI-guided professional learning can strengthen preservice teachers’ content knowledge (CK), pedagogical content knowledge (PCK), and mathematical creativity (MC).
This is a strong fit for applicants interested in mathematics education, AI in education, mathematics teacher education, and teacher professional learning. The work involves a large-scale, multi-institutional research collaboration across eight geographically diverse institutions in the United States, with opportunities for module development, implementation, data collection and analysis, conference presentations, and scholarly publications.
Applicants with backgrounds in mathematics, mathematics teaching, or mathematics education are especially encouraged to apply. Experience with AI, programming, educational technology, or quantitative/qualitative research methods is preferred but not required.
Funding is linked to an NSF-funded research project, but the post does not specify stipend, tuition coverage, or other financial details. The opening is for Fall 2027.
To express interest, send your CV and a brief statement of your research interests to [email protected]. More information about the lab is available at www.alibicer.net/lab.html.
Funding details
The PhD position is tied to a five-year NSF-funded IUSE project. The post does not specify stipend, tuition coverage, or other financial details.
What's required
Applicants with backgrounds in mathematics, mathematics teaching, or mathematics education are especially encouraged to apply. Experience with AI, programming, educational technology, or quantitative/qualitative research methods is preferred but not required.
How to apply
Send your CV and a brief statement of your research interests to [email protected] to express interest. Review the lab page for more information about the project and group.
More information can be found here
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