Postdoctoral Research Associate , Information Science

Postdoctoral Research Associate I, Information Science
Posting Number req
25315 Department Information Science Department Website Link (Use the "Apply for this Job" box below).
Location Tucson Campus Address Tucson, AZ USA

This position supports interdisciplinary research projects by helping plan, manage, and carry out research activities. The role includes writing reports, research papers, and grant proposals; working with professionals and community partners; and supervising students and research assistants. The role will include designing and implementing educational or outreach programs with digital technology, including but not limited to AI; analyzing user behaviors, perceptions, and learning outcomes with computational and/or mixed methods;

and publishing in major conferences and journals in information and learning sciences. Other related tasks may be assigned as needed.

Join a supportive, interdisciplinary research team; receive one-on-one, career-focused mentorship; access to state-of-the-art facilities and resources; and gain the skills and experience needed for an independent academic career!

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please .

• Assist in planning, managing, coordinating, and implementing interdisciplinary research projects.
• Draft reports, manuscripts, and research grant proposals.
• Conduct research in collaboration with professional sectors and communities.
• Supervise students and research assistants.
• Perform other relevant tasks as assigned.

• Aspirations for an academic career focusing on interdisciplinary research integrating human and artificial intelligence to improve learning and well-being.
• Knowledge and experience in human-centered intelligent system design, learning analytics, AI in education, and/or machine learning.
• Self-motivated and detail-oriented, with excellent organizational, written, and oral communication skills.
• Proficiency in academic writing in English.
• Demonstrated ability to work independently and collaboratively within a team.

• Ph.D. in Information Science, Computer Science, Engineering, Learning Sciences, Psychology, Cognitive Science, or a closely related field.
• Selected applicant must have Ph.D. conferred upon hire.

• FLSA:
  Exempt
• Full Time/Part Time:
  Full Time
• Number of Hours Worked per Week: 40
• Job FTE: 1.0
• Work Calendar:
  Fiscal
• Job Category:
  Research
• Benefits Eligible:
  Yes - Full Benefits
• Rate of Pay: NIH Salary Guidelines, Depends on Experience
• Compensation Type: salary at 1.0 full-time equivalency (FTE)
• Type of criminal background check required:
  Name-based criminal background check (non-security sensitive)
• Number of Vacancies: 1
• Target Hire Date: 3/30/2026
• Expected End Date:

Dr. Xiao Hu
Associate Professor
xiaohu

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