AI-Driven STEM Education Postdoctoral Researcher

Tennessee State University

Nashville (TN)

On-site

USD 60,000 - 90,000

Full time

25 hours ago
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Job summary

Tennessee State University invites applications for a Postdoctoral Researcher focused on AI-integrated STEM education. The role advances multiple NSF-funded projects in AI-assisted learning analytics, AI-driven platforms, and AI-enabled diagnostics integrated into STEM curricula.

The successful candidate will connect measurement theory with educational data mining and AI to tackle real-world challenges in STEM instruction. Start is flexible with preference for 2026-11-01.

Qualifications

  • Doctoral degree in STEM Education, Engineering Education, Learning Sciences, Educational Measurement/Data Mining, HCI, Data Science, or related field by hire.
  • Familiarity with R or Python is required.
  • Experience with educational research in school or university settings preferred.

Responsibilities

  • Work on multiple NSF-funded projects involving AI-assisted learning analytics and AI-driven learning platforms.
  • Contribute to projects applying AI in education, including automated scoring and psychometric evaluation of LLMs.
  • Analyze student engagement and learning data using educational data mining and visualization methods.
  • Mentor graduate and undergraduate students.
  • Contribute to report writing, manuscript preparation, and dissemination.
  • Support grant writing and management of grant-funded research projects.

Skills

Mentor students

Education

Doctoral degree in STEM Education or related field

Tools

R
Python

Job description

Tennessee State University invites applications for a Postdoctoral Researcher focused on AI-integrated STEM education. The role advances multiple NSF-funded projects in AI-assisted learning analytics, AI-driven platforms, and AI-enabled diagnostics integrated into STEM curricula.

The successful candidate will connect measurement theory with educational data mining and AI to tackle real-world challenges in STEM instruction. Start is flexible with preference for 2026-11-01.

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