Assistant Professor - Human - Computer Interaction
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Position Title:
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Assistant Professor - Human - Computer Interaction
Job Category:
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Faculty
Employment Type:
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Regular
Job Profile:
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Assistant Professor
Job Duties:
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The information professions are undergoing rapid transformation driven by advances in artificial intelligence (AI) and interactive technologies. Future information professionals must be prepared not only to apply AI techniques, but also to design, evaluate, and critically engage with AI systems in ways that center human values, needs, and contexts. We invite applications for a full-time, tenure-track Assistant Professor position in Human–Computer Interaction (HCI) with particular interest in human-centered AI (HCAI) and human-AI collaboration (HAIC). This hire is part of SOIS’s strategic commitment to advancing research and teaching at the intersection of AI, human-centered computing, and information practices.
The successful candidate will contribute to educating students across our programs to design, evaluate, and/or deploy AI-enabled systems in diverse information environments including libraries, archives, and other information organizations and data-driven work settings.
We seek scholars whose research advances HCI broadly defined, with particular interest in HCAI and/or HCAI in information contexts. Topics of interest include, but are not limited to: human-AI interaction and collaboration (e.g., co-creative systems, decision support, augmentation); usability, transparency, fairness, explainability, and trustworthiness of AI systems; responsible, ethical, and inclusive AI design; user experience (UX) and interaction design for AI-enabled systems; socio-technical aspects of AI adoption and auditing in information environments; human-centered data practices, including data curation and stewardship; interfaces and interactions for large language models (LLMs) and generative AI; AI-supported knowledge organization, information retrieval, recommendation and discovery; accessibility and equity in AI-mediated information systems; and/or evaluation of AI systems in real-world information settings. We are especially interested in candidates who apply HCI and AI approaches to LIS and IST domains, such as library and archival discovery systems; digital libraries; reference and information services augmented by AI; metadata, classification, and knowledge organization; and educational technologies as well as information and AI literacy.
The successful candidate...
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