Assistant Professor in AI Computing

University of Hawaii•Honolulu, HI
•Onsite

About The Position

The Department of Information and Computer Sciences at the University of Hawaiʻi at Mānoa invites applications for a full-time, permanent, tenure-track Assistant Professor in AI Computing, beginning in the 2027–2028 academic year. The position is part of a three-position Human-First AI cluster hire, alongside separate searches in Agentic AI and Autonomous Systems and Safe and Trustworthy AI Systems. Candidates seeking consideration for multiple roles must submit a separate application for each. The successful candidate will advance research in AI algorithms, models, software, and computing platforms. Areas of interest include machine learning algorithms and architectures; generative AI, large language models, and multimodal foundation models; AI for scientific computing and discovery; scalable and resource-efficient training and inference; distributed and accelerated AI computing; hardware-software co-design; embedded and edge AI; and AI data and software infrastructure. The department welcomes theoretical, methodological, and systems research that improves AI capabilities, efficiency, or scalability while supporting human judgment and beneficial use. The appointee will contribute to the department’s growing AI curriculum, the proposed BS in Computer Science Artificial Intelligence Track, and the Professional MCS in AI/Data Science. The position will be connected to the University of Hawaiʻi AI Institute, which is under development and aims to advance human-first AI through research, education, and service that strengthen the capabilities and well-being of Hawaiʻi’s people. Its work is guided by human judgment and decision-making, responsible stewardship, and community-defined priorities. The University of Hawaiʻi at Mānoa is the UH system’s flagship campus and the state’s only R1 university. The University is dedicated to teaching, research, and service in a multicultural and inclusive environment. Appointment is pending position clearance.

Requirements

  • Ph.D. in Computer Science or a closely related field by the start date.
  • Evidence of high-quality research through peer-reviewed publications in conferences or journals relevant to the position.
  • Commitment to excellence in undergraduate and graduate teaching, mentoring, and advising.
  • Demonstrated ability to collaborate with diverse groups of students, faculty, and external partners.
  • Strong potential to establish an independent research program and obtain extramural funding.

Nice To Haves

  • Experience developing or evaluating AI methods or computing systems relevant to the position, including efficient AI computing, agents that plan and use tools, or systems operating under safety, security, reliability, privacy, or resource constraints.
  • Experience translating research into usable tools, models, software, platforms, benchmarks, or evaluation methods, with attention to accessibility, meaningful human control, and impacts on users and communities.
  • Experience with interdisciplinary or applied research involving government, industry, or nonprofit partners.
  • Experience mentoring students from a variety of backgrounds and disciplines through research, internships, or collaborative projects.

Responsibilities

  • Teach and develop undergraduate and graduate courses in the candidate’s area of expertise and related areas of artificial intelligence, as well as other information and computer science courses.
  • Establish or sustain an extramurally funded research program.
  • Publish high-quality scholarly work.
  • Supervise graduate research.
  • Mentor and advise undergraduates.
  • Participate in capstone mentoring.
  • Develop interdisciplinary and external collaborations.
  • Provide department, college, and university service.
  • Perform other scholarly duties as assigned.
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