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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.
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.
You will be required to provide names and contact information for three references during your application to the posting. If you are the recommended candidate for the position, our online hiring system will automatically generate solicitation for these letters using contact information you provided.
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:
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 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.
You will be required to provide names and contact information for three references during your application to the posting. If you are the recommended candidate for the position, our online hiring system will automatically generate solicitation for these letters using contact information you provided.
Open Date
Open Date 10/08/2026
Close Date
Close Date 10/23/2026
Job Category
Job Category Administrative/Professional
Requisition Number
Tennessee State University offers eligible employees a competitive benefits package that includes annual leave (vacation), sick leave, medical, dental, vision, life insurance, retirement, flexible benefits plans and more.
Required fields are indicated with an asterisk (*).