Postdoctoral Researcher — AI-Integrated STEM Education

Employment is contingent upon successfully completing a criminal background check as mandated by Tennessee State University.

Official transcripts for positions which require a post-secondary undergraduate degree, advanced degree and/or certification must be presented upon hire.

An unofficial transcript may be attached in the “Transcript” section.

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Position Information

Position Title

Position Title Postdoctoral Researcher — AI-Integrated STEM Education

Division

Division College of Engineering

Department

Department Dean of Engineering

Number of hours per week

Number of hours per week 37.5

Days to be worked

Months per year

Months per year Fiscal (12 months)

If modified, list months

Job Type

Job Type Full-Time

Campus

Campus Main Campus

If other location, please indicate

Position Number

Position Number 121425

Advertised Salary

Pay Basis

Pay Basis Monthly

Job Description

This position supports multiple ongoing, grant-funded research projects in STEM student success, engineering education, AI-empowered teaching and learning in the College of Engineering at Tennessee State University. Current projects include AI-assisted learning analytics, establishment of personalized AI-driven learning platforms, and integration of AI-enabled diagnostic, tutoring, and modeling tools into experiential STEM curricula, among other related initiatives. The postdoctoral researcher will contribute across these concurrent projects with assignments and priorities adjusted as project needs evolve, working under the supervision of Dr.

Jing Yan. The postdoctoral researcher is expected to play a central role in connecting measurement and assessment theory, educational data mining, and AI to solve real-world problems in STEM instruction and learning.

The start date of the position is flexible, but the preferred start is no later than November 1, 2026.

Responsibilities:

• Work on multiple NSF
  -funded projects involving AI-assisted learning analytics, establishment of a personalized AI-driven learning platform, adaptive testing and adaptive learning, in collaboration with researchers in engineering.
• Contribute to projects exploring applications of AI in education, including automated scoring, synthetic data generation, and the application of psychometric methods to large language model evaluation.
• Analyze existing corpora of student engagement and learning data using educational data mining and visualization methods.
• Mentor graduate and undergraduate students.
• Contribute to report writing, manuscript preparation, and other dissemination efforts.
• Contribute to grant writing and support grant-funded research projects.

Minimum Qualifications

This position requires a doctoral degree in STEM Education, Engineering Education, Learning Sciences, Educational Measurement/Data Mining, Human-Computer Interaction, Data Science, or a related field by the time of hire, and experience conducting educational research in school or university settings. Familiarity with R or Python is required.

Preferred Qualifications:

Experience with adaptive learning/testing, AI in education, or deep learning; experience with learning analytics or AI-assisted educational research; experience working in multidisciplinary teams.

Employment is contingent upon successfully completing a…