"Postdoctoral Research Associate I, Information Science"

Postdoctoral Research Associate I, Information Science

Company:
The University of Arizona

Job Location:
Tucson, 85724

Category:
Library and Information Science

Type:
Full-Time

Posting Number: req25315

Department: Information Science

Location: Tucson Campus

Address: Tucson, AZ USA

Position Highlights

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 click here.

Duties & Responsibilities

• 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.

Minimum Qualifications

• 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

Contact Information for Candidates

Dr. Xiao Hu
Associate Professor
xiaohu@arizona.edu

Open Until Filled: Yes

Documents Needed to Apply: Curriculum Vitae (CV), Cover Letter, and Two Additional Documents

Special Instructions to Applicant

Please submit your CV and cover letter.
In the first additional document slot, upload a research statement.
In the second additional document slot, upload a writing sample.