Postdoctoral Research Associate I, Information Science

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!

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• 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.

Knowledge, Skills, and Abilities (KSAs):

• 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.