Publisher
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University of Arizona

Postdoctoral Research Associate in Information Science and Human-AI Collaboration The University of Arizona in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Funded NSF project; full-time postdoctoral research associate appointment for one year initially, renewable up to three years based on performance. Salary follows NIH salary guidelines and depends on experience. Full benefits are included, with health, dental, vision, life insurance, paid leave, and tuition reduction benefits.

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Country

United States

University

University of Arizona

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Keywords

Computer Science
Education
Psychology
Information Technology
Human-computer Interaction
Large Language Models
ML

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About this position

Postdoctoral Research Associate in Information Science and Human-AI Collaboration at The University of Arizona, Tucson, United States.

The HARE (Human-AI REsearch) group, led by John Chen, invites applications for a postdoctoral position on a funded NSF project (HCC, Award #2551586). The project focuses on advancing qualitative research through human-AI collaboration, including interviews, co-design sessions, analysis of qualitative data, and the development and evaluation of human-AI methods for generating qualitative codebooks.

The postdoc will work across three goals: studying how researchers conduct human-AI qualitative analysis in authentic settings, co-designing human-AI interfaces with qualitative researchers, and building open-sourced software for qualitative research. The role includes leading research activities, publishing in top-tier venues, collaborating with partner labs and PIs, and having dedicated time for independent research.

Relevant study areas and keywords include information science, human-computer interaction, machine learning, generative AI, large language models, co-design, participatory design, and open-source research software.

Eligibility highlights: PhD required by start date in HCI, information science, learning sciences, computer science, or a related field; experience in qualitative research methods; co-design/participatory design; and a publication record. Preferred experience includes multimodal qualitative data, qualitative analysis software, prototypes, visualizations, IRB/data privacy, and grant writing.

Funding and benefits: This is a full-time, funded postdoctoral appointment with salary based on NIH guidelines and experience. The university lists full benefits, including health, dental, vision, life insurance, paid leave, and tuition reduction. Visa sponsorship is not available.

Application: Apply via the University of Arizona careers portal. Submit a CV and cover letter. The position is open until filled.

Funding details

Funded NSF project; full-time postdoctoral research associate appointment for one year initially, renewable up to three years based on performance. Salary follows NIH salary guidelines and depends on experience. Full benefits are included, with health, dental, vision, life insurance, paid leave, and tuition reduction benefits.

What's required

PhD in human-computer interaction, information science, learning sciences, computer science, or a related field by the start date. Applicants should have experience in qualitative research theory and practice such as grounded theory, interaction analysis, or discourse analysis; co-design or participatory design methods; interest in open-source research software; interest in machine learning or generative AI methods including large language models; and a record of peer-reviewed publications. Preferred experience includes multimodal qualitative research, qualitative data analysis software, interactive prototypes, data visualizations, IRB protocols, data privacy practices, and grant writing.

How to apply

Apply through the University of Arizona careers portal using the provided requisition link. Submit a CV and cover letter and follow the applicant instructions on the posting. The position is open until filled.

More information can be found here

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